https://www.vistrails.org//api.php?action=feedcontributions&user=Llins&feedformat=atomVistrailsWiki - User contributions [en]2023-05-28T15:39:10ZUser contributionsMediaWiki 1.36.2https://www.vistrails.org//index.php?title=DataVis2012/Schedule&diff=4626DataVis2012/Schedule2012-04-22T14:25:15Z<p>Llins: /* 4/16: Information Visualization */</p>
<hr />
<div>== 1/23: Introduction to visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Scientific Visualization<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01-notes.pdf lec01-notes.pdf]<br />
<br />
Slides: TBA<br />
<br />
Animations: [http://www.cs.utah.edu/~csilva/courses/cs5630/fall2007/SevereTstorm.mov NCSA storm animation]<br />
<br />
Further reading:<br />
<br />
[http://www.cs.ubc.ca/labs/imager/tr/2009/VisChapter Visualization by Tamara Munzner] (see PDF on her page)<br />
<br />
(Optional reading) [http://www.sci.utah.edu/~csilva/papers/cise2008a.pdf Provenance for Computational Tasks: A Survey]<br />
<br />
(Optional reading) [http://www.cs.utah.edu/~csilva/courses/cs5630/reproducible_vis.pdf Provenance for Visualizations: Reproducibility and Beyond], C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.<br />
<br />
== 1/30: The visualization pipeline ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02-notes.pdf lec02-notes.pdf]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=dataflow.pdf dataflow.pdf]<br />
<br />
Further reading:<br />
<br />
[http://www.cmake.org/cmake/help/cmake_tutorial.html CMake Tutorial]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials/New_Pipeline VTK Pipeline]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials VTK Tutorial]<br />
<br />
[http://www.paraview.org/Wiki/The_ParaView_Tutorial ParaView Tutorial]<br />
<br />
== 2/6: Modeling Data for Visualization ==<br />
<br />
Lecturer: Claudio Silva<br />
<br />
Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms<br />
<br />
Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem) <br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=week2.pdf modeling data]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=processing.ppt processing.ppt] <br />
<br />
Further reading:<br />
<br />
[http://www.cs.wisc.edu/graphics/Courses/559-s2001/notes/hanrahan.pdf Basic Signal Processing]<br />
<br />
[http://graphics.cs.uiuc.edu/~garland/papers/quadrics.pdf Surface Simplification Using Quadric Error Metrics]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/vis2001b.pdf A Memory Insensitive Technique for Large Model Simplification]<br />
<br />
(Optional Reading) [http://graphics.cs.uiuc.edu/~garland/papers/TR-2004-2450.pdf Quadric-based Simplification in any Dimension]<br />
<br />
http://en.wikipedia.org/wiki/Least_squares<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/sig2005.pdf Robust Moving Least-squares Fitting with Sharp Features]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~cscheid/pubs/band_mls.pdf Optimal Bandwidth Selection for MLS Surfaces]<br />
<br />
== 2/13: Plotting == <br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf] and [http://www.vistrails.org/download/download.php?type=PUB&id=Plotting2.pdf Plotting2.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip] - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory). <br />
<br />
Further Reading:<br />
<br />
* The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.<br />
<br />
* Visualizing Data. William S. Cleveland, Hobart Press, 1993.<br />
<br />
* The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.<br />
<br />
* Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.<br />
<br />
* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]<br />
<br />
* [http://en.wikipedia.org/wiki/Correlation Correlation]<br />
<br />
* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]<br />
<br />
* [http://en.wikipedia.org/wiki/Box_plot Box Plots]<br />
<br />
== 2/20: NO CLASS (President's Day) ==<br />
<br />
== 2/27: Color and Human Perception ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps;<br />
<br />
Notes: <br />
<br />
Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/human-vision.pdf human-vision.pdf] [http://www.cs.utah.edu/~csilva/courses/cs5630/colorvision-jens.pdf colorvision-jens.pdf]<br />
<br />
Links:<br />
<br />
* http://en.wikipedia.org/wiki/Eye<br />
<br />
* http://www.handprint.com/HP/WCL/color2.html<br />
<br />
* [http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization], Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research.<br />
<br />
* [http://www-graphics.stanford.edu/courses/cs248-08/color/color1.html Color Theory, ColorSpaces], Marc Levoy, Stanford Graphics Lab.<br />
<br />
* http://en.wikipedia.org/wiki/Opponent_process<br />
<br />
* http://en.wikipedia.org/wiki/Color_models<br />
<br />
* http://en.wikipedia.org/wiki/Absolute_color_space<br />
<br />
* http://en.wikipedia.org/wiki/Additive_color<br />
<br />
* http://en.wikipedia.org/wiki/Subtractive_color<br />
<br />
* http://en.wikipedia.org/wiki/RGB_color_model<br />
<br />
* http://en.wikipedia.org/wiki/SRGB_color_space<br />
<br />
* http://en.wikipedia.org/wiki/CIE_XYZ_color_space<br />
<br />
== 3/5 2D Visualization Techniques ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: 2-D scalar fields: Color mapping; height fields; 2-D contours, marching tris, marching quads; 2-D vector fields: div, grad, curl in 2D; Glyphs; Steady vs Unsteady flows; 2-D streamlines, streaklines, pathlines<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis.pdf 2D Scalar Fields (pdf file)]; [http://www.vistrails.org/download/download.php?type=PUB&id=2d_vector_vis.pdf 2d Vector Fields (pdf file)]<br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis_notes.pdf 2d Scalar Fields (pdf file)]<br />
<br />
Vistrails: [http://www.vistrails.org/download/download.php?type=DATA&id=ozone_and_data.zip zip file with ozone.vt and data] [http://www.vistrails.org/download/download.php?type=DATA&id=asymptotic_decider.vt asymptotic decider in 2d] [http://www.vistrails.org/download/download.php?type=DATA&id=elevation.zip heightfields]<br />
<br />
Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:<br />
<br />
import os<br />
os.chdir("c:/directory/where/you/unzipped/it")<br />
<br />
This will change the directory so you should be able to just run the pipelines.<br />
<br />
Further reading:<br />
<br />
[http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5290706 BubbleSets (technique that uses 2d countours)] [http://www.youtube.com/watch?v=Ju2hSThmPWA (video)]<br />
<br />
http://ieeexplore.ieee.org/iel5/4271943/4271944/04272091.pdf<br />
<br />
http://www.jstor.org/stable/pdfplus/2683294.pdf<br />
<br />
[http://www.inf.ufrgs.br/%7Eoliveira/pubs_files/Kuhn_Oliveira_Fernandes_Vis2008.pdf An Efﬁcient Naturalness-Preserving Image-Recoloring Method for Dichromats]<br />
<br />
== 3/12 NO CLASS (Spring Break) == <br />
<br />
<br />
== 3/19 Volume Visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering1.pdf VolumeRendering1.pdf], [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering2.pdf VolumeRendering2.pdf], and [http://www.cs.utah.edu/~csilva/courses/cs5630/unstructured_grid_rendering.pdf unstructured_grid_rendering.pdf]<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/dvr.pdf dvr.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRenderingVistrails.zip VolumeRenderingVistrails.zip]<br />
<br />
References:<br />
<br />
[http://www.llnl.gov/graphics/docs/OpticalModelsLong.pdf Optical Models for Direct Volume Rendering]<br />
<br />
[http://graphics.stanford.edu/papers/volume-cga88/ Display of Surfaces from Volume Data] - Ray casting paper<br />
<br />
[http://portal.acm.org/citation.cfm?id=329138 Interactive Volume Rendering] - Splatting paper, paper requires ACM digital library access<br />
<br />
[http://portal.acm.org/citation.cfm?id=197972&dl=ACM&coll=GUIDE Accelerated volume rendering and tomographic reconstruction using texture mapping hardware] - Texture slicing paper, requires ACM digital library access<br />
<br />
[http://graphics.stanford.edu/papers/shear/ Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation] - Shear-warp paper<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/rita2005.pdf A Survey of GPU-Based Volume Rendering of Unstructured Grid]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/tvcg2005cr.pdf Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkHAVSVolumeMapper.html)<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/volvis2000.pdf ZSWEEP: An Efficient and Exact Projection Algorithm for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkUnstructuredGridVolumeZSweepMapper.html)<br />
<br />
== 3/26 Volume Visualization == <br />
<br />
Lecturer: Tiago<br />
<br />
Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours<br />
<br />
Slides: [http://dl.dropbox.com/u/4483810/nyu.pdf Slides]<br />
<br />
References:<br />
<br />
[http://portal.acm.org/citation.cfm?id=37401.37422 Marching cubes: A high resolution 3D surface construction algorithm]<br />
<br />
[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=175782 The asymptotic decider: resolving the ambiguity in marching cubes]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/noskinny.pdf Marching Cubes without skinny triangles]<br />
<br />
[http://doi.ieeecomputersociety.org/10.1109/2945.489388 A Near Optimal Isosurface Extraction Algorithm Using the Span Space]<br />
<br />
== 4/2 Midterm ==<br />
<br />
== 4/9 Vector & Tensor Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points<br />
<br />
Slides: <br />
<br />
References: <br />
<br />
== 4/16: Information Visualization ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: Definition; <br />
Historical Highlights <br />
Power of Visualization (Examples);<br />
Idea of Visual Channels and mapping Data Types to Visual Channels;<br />
Interaction Principles (Schneiderman's Mantra); <br />
Data Reduction (Overviews and Aggregation, Filtering and Navigation, Focus+Context, Dimensionality Reduction);<br />
Multiple Views; Brushing and Linking;<br />
Overview of Infovis Techniques: Scatterplot Matrix, Star Plots, Parallel coordinates, Chernoff Faces, Tree Maps, Tree Visualization, Graph visualization (NodeTrix)<br />
<br />
Slides: [http://vgc.poly.edu/files/courses/datavis/infovis-01.pdf Slides]<br />
<br />
Links:<br />
<br />
[http://www.smartmoney.com/map-of-the-market/ Map of the Market]: Tree Map of Stock Market<br />
<br />
[http://itol.embl.de/itol.cgi Interactive Tree of Life]: Radial Phylogenetic Tree<br />
<br />
[http://www.derlien.com/ Disk Inventory X]: Tree Map Disk Utility for Mac<br />
<br />
[http://w3.win.tue.nl/nl/onderzoek/onderzoek_informatica/visualization/sequoiaview/ Sequoia View]: Tree Map Disk Utility for Windows<br />
<br />
[http://www.graphviz.org/ Graphviz]: Graph layout project<br />
<br />
== 4/23: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:<br />
<br />
== 5/7: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:</div>Llinshttps://www.vistrails.org//index.php?title=DataVis2012/Schedule&diff=4625DataVis2012/Schedule2012-04-22T13:24:30Z<p>Llins: /* 4/16: Information Visualization */</p>
<hr />
<div>== 1/23: Introduction to visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Scientific Visualization<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01-notes.pdf lec01-notes.pdf]<br />
<br />
Slides: TBA<br />
<br />
Animations: [http://www.cs.utah.edu/~csilva/courses/cs5630/fall2007/SevereTstorm.mov NCSA storm animation]<br />
<br />
Further reading:<br />
<br />
[http://www.cs.ubc.ca/labs/imager/tr/2009/VisChapter Visualization by Tamara Munzner] (see PDF on her page)<br />
<br />
(Optional reading) [http://www.sci.utah.edu/~csilva/papers/cise2008a.pdf Provenance for Computational Tasks: A Survey]<br />
<br />
(Optional reading) [http://www.cs.utah.edu/~csilva/courses/cs5630/reproducible_vis.pdf Provenance for Visualizations: Reproducibility and Beyond], C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.<br />
<br />
== 1/30: The visualization pipeline ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02-notes.pdf lec02-notes.pdf]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=dataflow.pdf dataflow.pdf]<br />
<br />
Further reading:<br />
<br />
[http://www.cmake.org/cmake/help/cmake_tutorial.html CMake Tutorial]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials/New_Pipeline VTK Pipeline]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials VTK Tutorial]<br />
<br />
[http://www.paraview.org/Wiki/The_ParaView_Tutorial ParaView Tutorial]<br />
<br />
== 2/6: Modeling Data for Visualization ==<br />
<br />
Lecturer: Claudio Silva<br />
<br />
Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms<br />
<br />
Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem) <br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=week2.pdf modeling data]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=processing.ppt processing.ppt] <br />
<br />
Further reading:<br />
<br />
[http://www.cs.wisc.edu/graphics/Courses/559-s2001/notes/hanrahan.pdf Basic Signal Processing]<br />
<br />
[http://graphics.cs.uiuc.edu/~garland/papers/quadrics.pdf Surface Simplification Using Quadric Error Metrics]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/vis2001b.pdf A Memory Insensitive Technique for Large Model Simplification]<br />
<br />
(Optional Reading) [http://graphics.cs.uiuc.edu/~garland/papers/TR-2004-2450.pdf Quadric-based Simplification in any Dimension]<br />
<br />
http://en.wikipedia.org/wiki/Least_squares<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/sig2005.pdf Robust Moving Least-squares Fitting with Sharp Features]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~cscheid/pubs/band_mls.pdf Optimal Bandwidth Selection for MLS Surfaces]<br />
<br />
== 2/13: Plotting == <br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf] and [http://www.vistrails.org/download/download.php?type=PUB&id=Plotting2.pdf Plotting2.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip] - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory). <br />
<br />
Further Reading:<br />
<br />
* The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.<br />
<br />
* Visualizing Data. William S. Cleveland, Hobart Press, 1993.<br />
<br />
* The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.<br />
<br />
* Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.<br />
<br />
* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]<br />
<br />
* [http://en.wikipedia.org/wiki/Correlation Correlation]<br />
<br />
* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]<br />
<br />
* [http://en.wikipedia.org/wiki/Box_plot Box Plots]<br />
<br />
== 2/20: NO CLASS (President's Day) ==<br />
<br />
== 2/27: Color and Human Perception ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps;<br />
<br />
Notes: <br />
<br />
Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/human-vision.pdf human-vision.pdf] [http://www.cs.utah.edu/~csilva/courses/cs5630/colorvision-jens.pdf colorvision-jens.pdf]<br />
<br />
Links:<br />
<br />
* http://en.wikipedia.org/wiki/Eye<br />
<br />
* http://www.handprint.com/HP/WCL/color2.html<br />
<br />
* [http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization], Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research.<br />
<br />
* [http://www-graphics.stanford.edu/courses/cs248-08/color/color1.html Color Theory, ColorSpaces], Marc Levoy, Stanford Graphics Lab.<br />
<br />
* http://en.wikipedia.org/wiki/Opponent_process<br />
<br />
* http://en.wikipedia.org/wiki/Color_models<br />
<br />
* http://en.wikipedia.org/wiki/Absolute_color_space<br />
<br />
* http://en.wikipedia.org/wiki/Additive_color<br />
<br />
* http://en.wikipedia.org/wiki/Subtractive_color<br />
<br />
* http://en.wikipedia.org/wiki/RGB_color_model<br />
<br />
* http://en.wikipedia.org/wiki/SRGB_color_space<br />
<br />
* http://en.wikipedia.org/wiki/CIE_XYZ_color_space<br />
<br />
== 3/5 2D Visualization Techniques ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: 2-D scalar fields: Color mapping; height fields; 2-D contours, marching tris, marching quads; 2-D vector fields: div, grad, curl in 2D; Glyphs; Steady vs Unsteady flows; 2-D streamlines, streaklines, pathlines<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis.pdf 2D Scalar Fields (pdf file)]; [http://www.vistrails.org/download/download.php?type=PUB&id=2d_vector_vis.pdf 2d Vector Fields (pdf file)]<br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis_notes.pdf 2d Scalar Fields (pdf file)]<br />
<br />
Vistrails: [http://www.vistrails.org/download/download.php?type=DATA&id=ozone_and_data.zip zip file with ozone.vt and data] [http://www.vistrails.org/download/download.php?type=DATA&id=asymptotic_decider.vt asymptotic decider in 2d] [http://www.vistrails.org/download/download.php?type=DATA&id=elevation.zip heightfields]<br />
<br />
Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:<br />
<br />
import os<br />
os.chdir("c:/directory/where/you/unzipped/it")<br />
<br />
This will change the directory so you should be able to just run the pipelines.<br />
<br />
Further reading:<br />
<br />
[http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5290706 BubbleSets (technique that uses 2d countours)] [http://www.youtube.com/watch?v=Ju2hSThmPWA (video)]<br />
<br />
http://ieeexplore.ieee.org/iel5/4271943/4271944/04272091.pdf<br />
<br />
http://www.jstor.org/stable/pdfplus/2683294.pdf<br />
<br />
[http://www.inf.ufrgs.br/%7Eoliveira/pubs_files/Kuhn_Oliveira_Fernandes_Vis2008.pdf An Efﬁcient Naturalness-Preserving Image-Recoloring Method for Dichromats]<br />
<br />
== 3/12 NO CLASS (Spring Break) == <br />
<br />
<br />
== 3/19 Volume Visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering1.pdf VolumeRendering1.pdf], [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering2.pdf VolumeRendering2.pdf], and [http://www.cs.utah.edu/~csilva/courses/cs5630/unstructured_grid_rendering.pdf unstructured_grid_rendering.pdf]<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/dvr.pdf dvr.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRenderingVistrails.zip VolumeRenderingVistrails.zip]<br />
<br />
References:<br />
<br />
[http://www.llnl.gov/graphics/docs/OpticalModelsLong.pdf Optical Models for Direct Volume Rendering]<br />
<br />
[http://graphics.stanford.edu/papers/volume-cga88/ Display of Surfaces from Volume Data] - Ray casting paper<br />
<br />
[http://portal.acm.org/citation.cfm?id=329138 Interactive Volume Rendering] - Splatting paper, paper requires ACM digital library access<br />
<br />
[http://portal.acm.org/citation.cfm?id=197972&dl=ACM&coll=GUIDE Accelerated volume rendering and tomographic reconstruction using texture mapping hardware] - Texture slicing paper, requires ACM digital library access<br />
<br />
[http://graphics.stanford.edu/papers/shear/ Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation] - Shear-warp paper<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/rita2005.pdf A Survey of GPU-Based Volume Rendering of Unstructured Grid]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/tvcg2005cr.pdf Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkHAVSVolumeMapper.html)<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/volvis2000.pdf ZSWEEP: An Efficient and Exact Projection Algorithm for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkUnstructuredGridVolumeZSweepMapper.html)<br />
<br />
== 3/26 Volume Visualization == <br />
<br />
Lecturer: Tiago<br />
<br />
Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours<br />
<br />
Slides: [http://dl.dropbox.com/u/4483810/nyu.pdf Slides]<br />
<br />
References:<br />
<br />
[http://portal.acm.org/citation.cfm?id=37401.37422 Marching cubes: A high resolution 3D surface construction algorithm]<br />
<br />
[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=175782 The asymptotic decider: resolving the ambiguity in marching cubes]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/noskinny.pdf Marching Cubes without skinny triangles]<br />
<br />
[http://doi.ieeecomputersociety.org/10.1109/2945.489388 A Near Optimal Isosurface Extraction Algorithm Using the Span Space]<br />
<br />
== 4/2 Midterm ==<br />
<br />
== 4/9 Vector & Tensor Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points<br />
<br />
Slides: <br />
<br />
References: <br />
<br />
== 4/16: Information Visualization ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: Definition, Historical Highlights, Overview of Infovis Techniques: Scatterplot Matrix, Star Plots, Parallel coordinates, Chernoff Faces, Tree Maps, Tree Visualization, Graph visualization (NodeTrix)<br />
<br />
Slides: [http://vgc.poly.edu/files/courses/datavis/infovis-01.pdf Slides]<br />
<br />
Links:<br />
<br />
[http://www.smartmoney.com/map-of-the-market/ Map of the Market]: Tree Map of Stock Market<br />
<br />
[http://itol.embl.de/itol.cgi Interactive Tree of Life]: Radial Phylogenetic Tree<br />
<br />
[http://www.derlien.com/ Disk Inventory X]: Tree Map Disk Utility for Mac<br />
<br />
[http://w3.win.tue.nl/nl/onderzoek/onderzoek_informatica/visualization/sequoiaview/ Sequoia View]: Tree Map Disk Utility for Windows<br />
<br />
[http://www.graphviz.org/ Graphviz]: Graph layout project<br />
<br />
== 4/23: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:<br />
<br />
== 5/7: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:</div>Llinshttps://www.vistrails.org//index.php?title=DataVis2012/Schedule&diff=4617DataVis2012/Schedule2012-04-19T21:08:20Z<p>Llins: /* 4/16: Information Visualization */</p>
<hr />
<div>== 1/23: Introduction to visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Scientific Visualization<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01-notes.pdf lec01-notes.pdf]<br />
<br />
Slides: TBA<br />
<br />
Animations: [http://www.cs.utah.edu/~csilva/courses/cs5630/fall2007/SevereTstorm.mov NCSA storm animation]<br />
<br />
Further reading:<br />
<br />
[http://www.cs.ubc.ca/labs/imager/tr/2009/VisChapter Visualization by Tamara Munzner] (see PDF on her page)<br />
<br />
(Optional reading) [http://www.sci.utah.edu/~csilva/papers/cise2008a.pdf Provenance for Computational Tasks: A Survey]<br />
<br />
(Optional reading) [http://www.cs.utah.edu/~csilva/courses/cs5630/reproducible_vis.pdf Provenance for Visualizations: Reproducibility and Beyond], C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.<br />
<br />
== 1/30: The visualization pipeline ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02-notes.pdf lec02-notes.pdf]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=dataflow.pdf dataflow.pdf]<br />
<br />
Further reading:<br />
<br />
[http://www.cmake.org/cmake/help/cmake_tutorial.html CMake Tutorial]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials/New_Pipeline VTK Pipeline]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials VTK Tutorial]<br />
<br />
[http://www.paraview.org/Wiki/The_ParaView_Tutorial ParaView Tutorial]<br />
<br />
== 2/6: Modeling Data for Visualization ==<br />
<br />
Lecturer: Claudio Silva<br />
<br />
Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms<br />
<br />
Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem) <br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=week2.pdf modeling data]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=processing.ppt processing.ppt] <br />
<br />
Further reading:<br />
<br />
[http://www.cs.wisc.edu/graphics/Courses/559-s2001/notes/hanrahan.pdf Basic Signal Processing]<br />
<br />
[http://graphics.cs.uiuc.edu/~garland/papers/quadrics.pdf Surface Simplification Using Quadric Error Metrics]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/vis2001b.pdf A Memory Insensitive Technique for Large Model Simplification]<br />
<br />
(Optional Reading) [http://graphics.cs.uiuc.edu/~garland/papers/TR-2004-2450.pdf Quadric-based Simplification in any Dimension]<br />
<br />
http://en.wikipedia.org/wiki/Least_squares<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/sig2005.pdf Robust Moving Least-squares Fitting with Sharp Features]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~cscheid/pubs/band_mls.pdf Optimal Bandwidth Selection for MLS Surfaces]<br />
<br />
== 2/13: Plotting == <br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf] and [http://www.vistrails.org/download/download.php?type=PUB&id=Plotting2.pdf Plotting2.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip] - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory). <br />
<br />
Further Reading:<br />
<br />
* The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.<br />
<br />
* Visualizing Data. William S. Cleveland, Hobart Press, 1993.<br />
<br />
* The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.<br />
<br />
* Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.<br />
<br />
* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]<br />
<br />
* [http://en.wikipedia.org/wiki/Correlation Correlation]<br />
<br />
* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]<br />
<br />
* [http://en.wikipedia.org/wiki/Box_plot Box Plots]<br />
<br />
== 2/20: NO CLASS (President's Day) ==<br />
<br />
== 2/27: Color and Human Perception ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps;<br />
<br />
Notes: <br />
<br />
Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/human-vision.pdf human-vision.pdf] [http://www.cs.utah.edu/~csilva/courses/cs5630/colorvision-jens.pdf colorvision-jens.pdf]<br />
<br />
Links:<br />
<br />
* http://en.wikipedia.org/wiki/Eye<br />
<br />
* http://www.handprint.com/HP/WCL/color2.html<br />
<br />
* [http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization], Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research.<br />
<br />
* [http://www-graphics.stanford.edu/courses/cs248-08/color/color1.html Color Theory, ColorSpaces], Marc Levoy, Stanford Graphics Lab.<br />
<br />
* http://en.wikipedia.org/wiki/Opponent_process<br />
<br />
* http://en.wikipedia.org/wiki/Color_models<br />
<br />
* http://en.wikipedia.org/wiki/Absolute_color_space<br />
<br />
* http://en.wikipedia.org/wiki/Additive_color<br />
<br />
* http://en.wikipedia.org/wiki/Subtractive_color<br />
<br />
* http://en.wikipedia.org/wiki/RGB_color_model<br />
<br />
* http://en.wikipedia.org/wiki/SRGB_color_space<br />
<br />
* http://en.wikipedia.org/wiki/CIE_XYZ_color_space<br />
<br />
== 3/5 2D Visualization Techniques ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: 2-D scalar fields: Color mapping; height fields; 2-D contours, marching tris, marching quads; 2-D vector fields: div, grad, curl in 2D; Glyphs; Steady vs Unsteady flows; 2-D streamlines, streaklines, pathlines<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis.pdf 2D Scalar Fields (pdf file)]; [http://www.vistrails.org/download/download.php?type=PUB&id=2d_vector_vis.pdf 2d Vector Fields (pdf file)]<br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis_notes.pdf 2d Scalar Fields (pdf file)]<br />
<br />
Vistrails: [http://www.vistrails.org/download/download.php?type=DATA&id=ozone_and_data.zip zip file with ozone.vt and data] [http://www.vistrails.org/download/download.php?type=DATA&id=asymptotic_decider.vt asymptotic decider in 2d] [http://www.vistrails.org/download/download.php?type=DATA&id=elevation.zip heightfields]<br />
<br />
Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:<br />
<br />
import os<br />
os.chdir("c:/directory/where/you/unzipped/it")<br />
<br />
This will change the directory so you should be able to just run the pipelines.<br />
<br />
Further reading:<br />
<br />
[http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5290706 BubbleSets (technique that uses 2d countours)] [http://www.youtube.com/watch?v=Ju2hSThmPWA (video)]<br />
<br />
http://ieeexplore.ieee.org/iel5/4271943/4271944/04272091.pdf<br />
<br />
http://www.jstor.org/stable/pdfplus/2683294.pdf<br />
<br />
[http://www.inf.ufrgs.br/%7Eoliveira/pubs_files/Kuhn_Oliveira_Fernandes_Vis2008.pdf An Efﬁcient Naturalness-Preserving Image-Recoloring Method for Dichromats]<br />
<br />
== 3/12 NO CLASS (Spring Break) == <br />
<br />
<br />
== 3/19 Volume Visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering1.pdf VolumeRendering1.pdf], [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering2.pdf VolumeRendering2.pdf], and [http://www.cs.utah.edu/~csilva/courses/cs5630/unstructured_grid_rendering.pdf unstructured_grid_rendering.pdf]<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/dvr.pdf dvr.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRenderingVistrails.zip VolumeRenderingVistrails.zip]<br />
<br />
References:<br />
<br />
[http://www.llnl.gov/graphics/docs/OpticalModelsLong.pdf Optical Models for Direct Volume Rendering]<br />
<br />
[http://graphics.stanford.edu/papers/volume-cga88/ Display of Surfaces from Volume Data] - Ray casting paper<br />
<br />
[http://portal.acm.org/citation.cfm?id=329138 Interactive Volume Rendering] - Splatting paper, paper requires ACM digital library access<br />
<br />
[http://portal.acm.org/citation.cfm?id=197972&dl=ACM&coll=GUIDE Accelerated volume rendering and tomographic reconstruction using texture mapping hardware] - Texture slicing paper, requires ACM digital library access<br />
<br />
[http://graphics.stanford.edu/papers/shear/ Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation] - Shear-warp paper<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/rita2005.pdf A Survey of GPU-Based Volume Rendering of Unstructured Grid]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/tvcg2005cr.pdf Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkHAVSVolumeMapper.html)<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/volvis2000.pdf ZSWEEP: An Efficient and Exact Projection Algorithm for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkUnstructuredGridVolumeZSweepMapper.html)<br />
<br />
== 3/26 Volume Visualization == <br />
<br />
Lecturer: Tiago<br />
<br />
Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours<br />
<br />
Slides: [http://dl.dropbox.com/u/4483810/nyu.pdf Slides]<br />
<br />
References:<br />
<br />
[http://portal.acm.org/citation.cfm?id=37401.37422 Marching cubes: A high resolution 3D surface construction algorithm]<br />
<br />
[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=175782 The asymptotic decider: resolving the ambiguity in marching cubes]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/noskinny.pdf Marching Cubes without skinny triangles]<br />
<br />
[http://doi.ieeecomputersociety.org/10.1109/2945.489388 A Near Optimal Isosurface Extraction Algorithm Using the Span Space]<br />
<br />
== 4/2 Midterm ==<br />
<br />
== 4/9 Vector & Tensor Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points<br />
<br />
Slides: <br />
<br />
References: <br />
<br />
== 4/16: Information Visualization ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: Definition, Historical Highlights, Overview of Infovis Techniques: Scatterplot Matrix, Star Plots, Parallel coordinates, Chernoff Faces, Tree Maps, Tree Visualization, Graph visualization<br />
<br />
Slides: [http://vgc.poly.edu/files/courses/datavis/infovis-01.pdf Slides]<br />
<br />
Links:<br />
<br />
[http://www.smartmoney.com/map-of-the-market/ Map of the Market]: Tree Map of Stock Market<br />
<br />
[http://itol.embl.de/itol.cgi Interactive Tree of Life]: Radial Phylogenetic Tree<br />
<br />
[http://www.derlien.com/ Disk Inventory X]: Tree Map Disk Utility for Mac<br />
<br />
[http://w3.win.tue.nl/nl/onderzoek/onderzoek_informatica/visualization/sequoiaview/ Sequoia View]: Tree Map Disk Utility for Windows<br />
<br />
[http://www.graphviz.org/ Graphviz]: Graph layout project<br />
<br />
== 4/23: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:<br />
<br />
== 5/7: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:</div>Llinshttps://www.vistrails.org//index.php?title=DataVis2012/Schedule&diff=4616DataVis2012/Schedule2012-04-19T21:06:28Z<p>Llins: /* 4/16: Information Visualization */</p>
<hr />
<div>== 1/23: Introduction to visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Scientific Visualization<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01-notes.pdf lec01-notes.pdf]<br />
<br />
Slides: TBA<br />
<br />
Animations: [http://www.cs.utah.edu/~csilva/courses/cs5630/fall2007/SevereTstorm.mov NCSA storm animation]<br />
<br />
Further reading:<br />
<br />
[http://www.cs.ubc.ca/labs/imager/tr/2009/VisChapter Visualization by Tamara Munzner] (see PDF on her page)<br />
<br />
(Optional reading) [http://www.sci.utah.edu/~csilva/papers/cise2008a.pdf Provenance for Computational Tasks: A Survey]<br />
<br />
(Optional reading) [http://www.cs.utah.edu/~csilva/courses/cs5630/reproducible_vis.pdf Provenance for Visualizations: Reproducibility and Beyond], C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.<br />
<br />
== 1/30: The visualization pipeline ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02-notes.pdf lec02-notes.pdf]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=dataflow.pdf dataflow.pdf]<br />
<br />
Further reading:<br />
<br />
[http://www.cmake.org/cmake/help/cmake_tutorial.html CMake Tutorial]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials/New_Pipeline VTK Pipeline]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials VTK Tutorial]<br />
<br />
[http://www.paraview.org/Wiki/The_ParaView_Tutorial ParaView Tutorial]<br />
<br />
== 2/6: Modeling Data for Visualization ==<br />
<br />
Lecturer: Claudio Silva<br />
<br />
Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms<br />
<br />
Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem) <br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=week2.pdf modeling data]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=processing.ppt processing.ppt] <br />
<br />
Further reading:<br />
<br />
[http://www.cs.wisc.edu/graphics/Courses/559-s2001/notes/hanrahan.pdf Basic Signal Processing]<br />
<br />
[http://graphics.cs.uiuc.edu/~garland/papers/quadrics.pdf Surface Simplification Using Quadric Error Metrics]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/vis2001b.pdf A Memory Insensitive Technique for Large Model Simplification]<br />
<br />
(Optional Reading) [http://graphics.cs.uiuc.edu/~garland/papers/TR-2004-2450.pdf Quadric-based Simplification in any Dimension]<br />
<br />
http://en.wikipedia.org/wiki/Least_squares<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/sig2005.pdf Robust Moving Least-squares Fitting with Sharp Features]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~cscheid/pubs/band_mls.pdf Optimal Bandwidth Selection for MLS Surfaces]<br />
<br />
== 2/13: Plotting == <br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf] and [http://www.vistrails.org/download/download.php?type=PUB&id=Plotting2.pdf Plotting2.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip] - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory). <br />
<br />
Further Reading:<br />
<br />
* The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.<br />
<br />
* Visualizing Data. William S. Cleveland, Hobart Press, 1993.<br />
<br />
* The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.<br />
<br />
* Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.<br />
<br />
* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]<br />
<br />
* [http://en.wikipedia.org/wiki/Correlation Correlation]<br />
<br />
* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]<br />
<br />
* [http://en.wikipedia.org/wiki/Box_plot Box Plots]<br />
<br />
== 2/20: NO CLASS (President's Day) ==<br />
<br />
== 2/27: Color and Human Perception ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps;<br />
<br />
Notes: <br />
<br />
Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/human-vision.pdf human-vision.pdf] [http://www.cs.utah.edu/~csilva/courses/cs5630/colorvision-jens.pdf colorvision-jens.pdf]<br />
<br />
Links:<br />
<br />
* http://en.wikipedia.org/wiki/Eye<br />
<br />
* http://www.handprint.com/HP/WCL/color2.html<br />
<br />
* [http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization], Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research.<br />
<br />
* [http://www-graphics.stanford.edu/courses/cs248-08/color/color1.html Color Theory, ColorSpaces], Marc Levoy, Stanford Graphics Lab.<br />
<br />
* http://en.wikipedia.org/wiki/Opponent_process<br />
<br />
* http://en.wikipedia.org/wiki/Color_models<br />
<br />
* http://en.wikipedia.org/wiki/Absolute_color_space<br />
<br />
* http://en.wikipedia.org/wiki/Additive_color<br />
<br />
* http://en.wikipedia.org/wiki/Subtractive_color<br />
<br />
* http://en.wikipedia.org/wiki/RGB_color_model<br />
<br />
* http://en.wikipedia.org/wiki/SRGB_color_space<br />
<br />
* http://en.wikipedia.org/wiki/CIE_XYZ_color_space<br />
<br />
== 3/5 2D Visualization Techniques ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: 2-D scalar fields: Color mapping; height fields; 2-D contours, marching tris, marching quads; 2-D vector fields: div, grad, curl in 2D; Glyphs; Steady vs Unsteady flows; 2-D streamlines, streaklines, pathlines<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis.pdf 2D Scalar Fields (pdf file)]; [http://www.vistrails.org/download/download.php?type=PUB&id=2d_vector_vis.pdf 2d Vector Fields (pdf file)]<br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis_notes.pdf 2d Scalar Fields (pdf file)]<br />
<br />
Vistrails: [http://www.vistrails.org/download/download.php?type=DATA&id=ozone_and_data.zip zip file with ozone.vt and data] [http://www.vistrails.org/download/download.php?type=DATA&id=asymptotic_decider.vt asymptotic decider in 2d] [http://www.vistrails.org/download/download.php?type=DATA&id=elevation.zip heightfields]<br />
<br />
Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:<br />
<br />
import os<br />
os.chdir("c:/directory/where/you/unzipped/it")<br />
<br />
This will change the directory so you should be able to just run the pipelines.<br />
<br />
Further reading:<br />
<br />
[http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5290706 BubbleSets (technique that uses 2d countours)] [http://www.youtube.com/watch?v=Ju2hSThmPWA (video)]<br />
<br />
http://ieeexplore.ieee.org/iel5/4271943/4271944/04272091.pdf<br />
<br />
http://www.jstor.org/stable/pdfplus/2683294.pdf<br />
<br />
[http://www.inf.ufrgs.br/%7Eoliveira/pubs_files/Kuhn_Oliveira_Fernandes_Vis2008.pdf An Efﬁcient Naturalness-Preserving Image-Recoloring Method for Dichromats]<br />
<br />
== 3/12 NO CLASS (Spring Break) == <br />
<br />
<br />
== 3/19 Volume Visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering1.pdf VolumeRendering1.pdf], [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering2.pdf VolumeRendering2.pdf], and [http://www.cs.utah.edu/~csilva/courses/cs5630/unstructured_grid_rendering.pdf unstructured_grid_rendering.pdf]<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/dvr.pdf dvr.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRenderingVistrails.zip VolumeRenderingVistrails.zip]<br />
<br />
References:<br />
<br />
[http://www.llnl.gov/graphics/docs/OpticalModelsLong.pdf Optical Models for Direct Volume Rendering]<br />
<br />
[http://graphics.stanford.edu/papers/volume-cga88/ Display of Surfaces from Volume Data] - Ray casting paper<br />
<br />
[http://portal.acm.org/citation.cfm?id=329138 Interactive Volume Rendering] - Splatting paper, paper requires ACM digital library access<br />
<br />
[http://portal.acm.org/citation.cfm?id=197972&dl=ACM&coll=GUIDE Accelerated volume rendering and tomographic reconstruction using texture mapping hardware] - Texture slicing paper, requires ACM digital library access<br />
<br />
[http://graphics.stanford.edu/papers/shear/ Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation] - Shear-warp paper<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/rita2005.pdf A Survey of GPU-Based Volume Rendering of Unstructured Grid]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/tvcg2005cr.pdf Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkHAVSVolumeMapper.html)<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/volvis2000.pdf ZSWEEP: An Efficient and Exact Projection Algorithm for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkUnstructuredGridVolumeZSweepMapper.html)<br />
<br />
== 3/26 Volume Visualization == <br />
<br />
Lecturer: Tiago<br />
<br />
Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours<br />
<br />
Slides: [http://dl.dropbox.com/u/4483810/nyu.pdf Slides]<br />
<br />
References:<br />
<br />
[http://portal.acm.org/citation.cfm?id=37401.37422 Marching cubes: A high resolution 3D surface construction algorithm]<br />
<br />
[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=175782 The asymptotic decider: resolving the ambiguity in marching cubes]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/noskinny.pdf Marching Cubes without skinny triangles]<br />
<br />
[http://doi.ieeecomputersociety.org/10.1109/2945.489388 A Near Optimal Isosurface Extraction Algorithm Using the Span Space]<br />
<br />
== 4/2 Midterm ==<br />
<br />
== 4/9 Vector & Tensor Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points<br />
<br />
Slides: <br />
<br />
References: <br />
<br />
== 4/16: Information Visualization ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: Definition, Historical Highlights, Overview of Infovis Techniques: Scatterplot Matrix, Star Plots, Parallel coordinates, Chernoff Faces, Tree Maps, Tree Visualization, Graph visualization<br />
<br />
Slides: [http://vgc.poly.edu/files/courses/datavis/infovis-01.pdf Slides]<br />
<br />
Links:<br />
<br />
== 4/23: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:<br />
<br />
== 5/7: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:</div>Llinshttps://www.vistrails.org//index.php?title=DataVis2012/Schedule&diff=4615DataVis2012/Schedule2012-04-19T21:03:08Z<p>Llins: /* 4/16: Information Visualization */</p>
<hr />
<div>== 1/23: Introduction to visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Scientific Visualization<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01-notes.pdf lec01-notes.pdf]<br />
<br />
Slides: TBA<br />
<br />
Animations: [http://www.cs.utah.edu/~csilva/courses/cs5630/fall2007/SevereTstorm.mov NCSA storm animation]<br />
<br />
Further reading:<br />
<br />
[http://www.cs.ubc.ca/labs/imager/tr/2009/VisChapter Visualization by Tamara Munzner] (see PDF on her page)<br />
<br />
(Optional reading) [http://www.sci.utah.edu/~csilva/papers/cise2008a.pdf Provenance for Computational Tasks: A Survey]<br />
<br />
(Optional reading) [http://www.cs.utah.edu/~csilva/courses/cs5630/reproducible_vis.pdf Provenance for Visualizations: Reproducibility and Beyond], C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.<br />
<br />
== 1/30: The visualization pipeline ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02-notes.pdf lec02-notes.pdf]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=dataflow.pdf dataflow.pdf]<br />
<br />
Further reading:<br />
<br />
[http://www.cmake.org/cmake/help/cmake_tutorial.html CMake Tutorial]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials/New_Pipeline VTK Pipeline]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials VTK Tutorial]<br />
<br />
[http://www.paraview.org/Wiki/The_ParaView_Tutorial ParaView Tutorial]<br />
<br />
== 2/6: Modeling Data for Visualization ==<br />
<br />
Lecturer: Claudio Silva<br />
<br />
Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms<br />
<br />
Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem) <br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=week2.pdf modeling data]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=processing.ppt processing.ppt] <br />
<br />
Further reading:<br />
<br />
[http://www.cs.wisc.edu/graphics/Courses/559-s2001/notes/hanrahan.pdf Basic Signal Processing]<br />
<br />
[http://graphics.cs.uiuc.edu/~garland/papers/quadrics.pdf Surface Simplification Using Quadric Error Metrics]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/vis2001b.pdf A Memory Insensitive Technique for Large Model Simplification]<br />
<br />
(Optional Reading) [http://graphics.cs.uiuc.edu/~garland/papers/TR-2004-2450.pdf Quadric-based Simplification in any Dimension]<br />
<br />
http://en.wikipedia.org/wiki/Least_squares<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/sig2005.pdf Robust Moving Least-squares Fitting with Sharp Features]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~cscheid/pubs/band_mls.pdf Optimal Bandwidth Selection for MLS Surfaces]<br />
<br />
== 2/13: Plotting == <br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf] and [http://www.vistrails.org/download/download.php?type=PUB&id=Plotting2.pdf Plotting2.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip] - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory). <br />
<br />
Further Reading:<br />
<br />
* The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.<br />
<br />
* Visualizing Data. William S. Cleveland, Hobart Press, 1993.<br />
<br />
* The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.<br />
<br />
* Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.<br />
<br />
* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]<br />
<br />
* [http://en.wikipedia.org/wiki/Correlation Correlation]<br />
<br />
* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]<br />
<br />
* [http://en.wikipedia.org/wiki/Box_plot Box Plots]<br />
<br />
== 2/20: NO CLASS (President's Day) ==<br />
<br />
== 2/27: Color and Human Perception ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps;<br />
<br />
Notes: <br />
<br />
Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/human-vision.pdf human-vision.pdf] [http://www.cs.utah.edu/~csilva/courses/cs5630/colorvision-jens.pdf colorvision-jens.pdf]<br />
<br />
Links:<br />
<br />
* http://en.wikipedia.org/wiki/Eye<br />
<br />
* http://www.handprint.com/HP/WCL/color2.html<br />
<br />
* [http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization], Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research.<br />
<br />
* [http://www-graphics.stanford.edu/courses/cs248-08/color/color1.html Color Theory, ColorSpaces], Marc Levoy, Stanford Graphics Lab.<br />
<br />
* http://en.wikipedia.org/wiki/Opponent_process<br />
<br />
* http://en.wikipedia.org/wiki/Color_models<br />
<br />
* http://en.wikipedia.org/wiki/Absolute_color_space<br />
<br />
* http://en.wikipedia.org/wiki/Additive_color<br />
<br />
* http://en.wikipedia.org/wiki/Subtractive_color<br />
<br />
* http://en.wikipedia.org/wiki/RGB_color_model<br />
<br />
* http://en.wikipedia.org/wiki/SRGB_color_space<br />
<br />
* http://en.wikipedia.org/wiki/CIE_XYZ_color_space<br />
<br />
== 3/5 2D Visualization Techniques ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: 2-D scalar fields: Color mapping; height fields; 2-D contours, marching tris, marching quads; 2-D vector fields: div, grad, curl in 2D; Glyphs; Steady vs Unsteady flows; 2-D streamlines, streaklines, pathlines<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis.pdf 2D Scalar Fields (pdf file)]; [http://www.vistrails.org/download/download.php?type=PUB&id=2d_vector_vis.pdf 2d Vector Fields (pdf file)]<br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis_notes.pdf 2d Scalar Fields (pdf file)]<br />
<br />
Vistrails: [http://www.vistrails.org/download/download.php?type=DATA&id=ozone_and_data.zip zip file with ozone.vt and data] [http://www.vistrails.org/download/download.php?type=DATA&id=asymptotic_decider.vt asymptotic decider in 2d] [http://www.vistrails.org/download/download.php?type=DATA&id=elevation.zip heightfields]<br />
<br />
Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:<br />
<br />
import os<br />
os.chdir("c:/directory/where/you/unzipped/it")<br />
<br />
This will change the directory so you should be able to just run the pipelines.<br />
<br />
Further reading:<br />
<br />
[http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5290706 BubbleSets (technique that uses 2d countours)] [http://www.youtube.com/watch?v=Ju2hSThmPWA (video)]<br />
<br />
http://ieeexplore.ieee.org/iel5/4271943/4271944/04272091.pdf<br />
<br />
http://www.jstor.org/stable/pdfplus/2683294.pdf<br />
<br />
[http://www.inf.ufrgs.br/%7Eoliveira/pubs_files/Kuhn_Oliveira_Fernandes_Vis2008.pdf An Efﬁcient Naturalness-Preserving Image-Recoloring Method for Dichromats]<br />
<br />
== 3/12 NO CLASS (Spring Break) == <br />
<br />
<br />
== 3/19 Volume Visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering1.pdf VolumeRendering1.pdf], [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRendering2.pdf VolumeRendering2.pdf], and [http://www.cs.utah.edu/~csilva/courses/cs5630/unstructured_grid_rendering.pdf unstructured_grid_rendering.pdf]<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/dvr.pdf dvr.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/VolumeRenderingVistrails.zip VolumeRenderingVistrails.zip]<br />
<br />
References:<br />
<br />
[http://www.llnl.gov/graphics/docs/OpticalModelsLong.pdf Optical Models for Direct Volume Rendering]<br />
<br />
[http://graphics.stanford.edu/papers/volume-cga88/ Display of Surfaces from Volume Data] - Ray casting paper<br />
<br />
[http://portal.acm.org/citation.cfm?id=329138 Interactive Volume Rendering] - Splatting paper, paper requires ACM digital library access<br />
<br />
[http://portal.acm.org/citation.cfm?id=197972&dl=ACM&coll=GUIDE Accelerated volume rendering and tomographic reconstruction using texture mapping hardware] - Texture slicing paper, requires ACM digital library access<br />
<br />
[http://graphics.stanford.edu/papers/shear/ Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation] - Shear-warp paper<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/rita2005.pdf A Survey of GPU-Based Volume Rendering of Unstructured Grid]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/tvcg2005cr.pdf Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkHAVSVolumeMapper.html)<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/volvis2000.pdf ZSWEEP: An Efficient and Exact Projection Algorithm for Unstructured Volume Rendering] (This technique is implemented in VTK: http://www.vtk.org/doc/nightly/html/classvtkUnstructuredGridVolumeZSweepMapper.html)<br />
<br />
== 3/26 Volume Visualization == <br />
<br />
Lecturer: Tiago<br />
<br />
Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours<br />
<br />
Slides: [http://dl.dropbox.com/u/4483810/nyu.pdf Slides]<br />
<br />
References:<br />
<br />
[http://portal.acm.org/citation.cfm?id=37401.37422 Marching cubes: A high resolution 3D surface construction algorithm]<br />
<br />
[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=175782 The asymptotic decider: resolving the ambiguity in marching cubes]<br />
<br />
[http://www.sci.utah.edu/~csilva/papers/noskinny.pdf Marching Cubes without skinny triangles]<br />
<br />
[http://doi.ieeecomputersociety.org/10.1109/2945.489388 A Near Optimal Isosurface Extraction Algorithm Using the Span Space]<br />
<br />
== 4/2 Midterm ==<br />
<br />
== 4/9 Vector & Tensor Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points<br />
<br />
Slides: <br />
<br />
References: <br />
<br />
== 4/16: Information Visualization ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: Definition, Historical Highlights, Overview of Infovis Techniques: Scatterplot Matrix, Star Plots, Parallel coordinates, Chernoff Faces, Tree Maps, Tree Visualization, Graph visualization<br />
<br />
Slides: <br />
<br />
<br />
Links:<br />
<br />
== 4/23: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:<br />
<br />
== 5/7: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4602Seminars2012-04-12T01:43:16Z<p>Llins: /* Apr 11, 2012. Jerome Simeon */</p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
Title: Overview of Chris Bregler's Research<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
Title: High-Resolution Brain Machine Interfaces using Flexible SiliconElectronics: Research and Clinical Applications<br />
<br />
Current implantable brain devices for clinical and research<br />
applications require that each electrode is individually wired to a<br />
separate electronic system. Establishing a high-resolution interface<br />
over broad regions of the brain is infeasible under this constraint,<br />
as an electrode array with thousands of passive contacts would require<br />
thousands of wires to be individually connected. To overcome this<br />
limitation, we have developed new implantable electrode array<br />
technology that incorporates active, flexible electronics. This<br />
technology has enabled extremely flexible arrays of 720 and soon,<br />
thousands of multiplexed and amplified sensors spaced as closely as<br />
250 µm apart, which are connected using just a few wires. These<br />
devices yield an unprecedented level of spatial and temporal<br />
micro-electrocorticographic (µECoG) resolution for recording and<br />
stimulating distributed neural networks. µECoG is one of the many<br />
possible applications of this technology, which also include cardiac,<br />
peripheral nerve and retinal prosthetic devices. I will present the<br />
development of this technology and examples of retinotopic and<br />
tonotopic maps produced from in vivo recordings. I will also present<br />
examples of finely detailed spatial and temporal patterns from feline<br />
neocortex that give rise to seizures and suggest new stimulation<br />
paradigms to treat epilepsy.<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
Title: VISUS & Stuff I’ve done…<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau<br />
<br />
Title: Overview of Richard Bonneau's Research <br />
<br />
Our lab is focused on a number of computational biology problems that,<br />
if solved, would remove key bottlenecks in biology and systems<br />
biology. We focus on two main categories of computational biology:<br />
learning networks from functional genomics data and predicting and<br />
modeling protein structure. In the area of structure prediction we<br />
were early contributors to the Rosetta code; a platform for structure<br />
prediction, design and docking. In the area of network inference we<br />
worked on two computational methods that were used to demonstrate the<br />
first predictive genome-wide model of regulatory dynamics (i.e. the<br />
first case where a genome-wide model could predict the whole<br />
transcriptional state of cells at future time points not part of the<br />
training set). Both network inference and protein structure prediction<br />
remain grand challenges and in spite of our progress much exciting<br />
work remains to be done in the coming years as we continue to improve,<br />
scale and apply these methods.<br />
<br />
== Mar 21, 2012. Thomas J. Peters ==<br />
<br />
http://www.engr.uconn.edu/~tpeters/<br />
<br />
Title: Topological Biomolecular Steering<br />
<br />
== Apr 11, 2012. Jerome Simeon ==<br />
<br />
http://researcher.ibm.com/view.php?person=us-simeon<br />
<br />
Title: Cirrus: Data Programming on Cloud</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4601Seminars2012-04-11T18:11:43Z<p>Llins: </p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
Title: Overview of Chris Bregler's Research<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
Title: High-Resolution Brain Machine Interfaces using Flexible SiliconElectronics: Research and Clinical Applications<br />
<br />
Current implantable brain devices for clinical and research<br />
applications require that each electrode is individually wired to a<br />
separate electronic system. Establishing a high-resolution interface<br />
over broad regions of the brain is infeasible under this constraint,<br />
as an electrode array with thousands of passive contacts would require<br />
thousands of wires to be individually connected. To overcome this<br />
limitation, we have developed new implantable electrode array<br />
technology that incorporates active, flexible electronics. This<br />
technology has enabled extremely flexible arrays of 720 and soon,<br />
thousands of multiplexed and amplified sensors spaced as closely as<br />
250 µm apart, which are connected using just a few wires. These<br />
devices yield an unprecedented level of spatial and temporal<br />
micro-electrocorticographic (µECoG) resolution for recording and<br />
stimulating distributed neural networks. µECoG is one of the many<br />
possible applications of this technology, which also include cardiac,<br />
peripheral nerve and retinal prosthetic devices. I will present the<br />
development of this technology and examples of retinotopic and<br />
tonotopic maps produced from in vivo recordings. I will also present<br />
examples of finely detailed spatial and temporal patterns from feline<br />
neocortex that give rise to seizures and suggest new stimulation<br />
paradigms to treat epilepsy.<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
Title: VISUS & Stuff I’ve done…<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau<br />
<br />
Title: Overview of Richard Bonneau's Research <br />
<br />
Our lab is focused on a number of computational biology problems that,<br />
if solved, would remove key bottlenecks in biology and systems<br />
biology. We focus on two main categories of computational biology:<br />
learning networks from functional genomics data and predicting and<br />
modeling protein structure. In the area of structure prediction we<br />
were early contributors to the Rosetta code; a platform for structure<br />
prediction, design and docking. In the area of network inference we<br />
worked on two computational methods that were used to demonstrate the<br />
first predictive genome-wide model of regulatory dynamics (i.e. the<br />
first case where a genome-wide model could predict the whole<br />
transcriptional state of cells at future time points not part of the<br />
training set). Both network inference and protein structure prediction<br />
remain grand challenges and in spite of our progress much exciting<br />
work remains to be done in the coming years as we continue to improve,<br />
scale and apply these methods.<br />
<br />
== Mar 21, 2012. Thomas J. Peters ==<br />
<br />
http://www.engr.uconn.edu/~tpeters/<br />
<br />
Title: Topological Biomolecular Steering<br />
<br />
== Apr 11, 2012. Jerome Simeon ==<br />
<br />
http://www.engr.uconn.edu/~tpeters/<br />
<br />
Title: Cirrus: Data Programming on Cloud</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4569Seminars2012-03-24T12:01:36Z<p>Llins: /* Feb 22, 2012. Marcel Hlawatsch */</p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
Title: Overview of Chris Bregler's Research<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
Title: High-Resolution Brain Machine Interfaces using Flexible SiliconElectronics: Research and Clinical Applications<br />
<br />
Current implantable brain devices for clinical and research<br />
applications require that each electrode is individually wired to a<br />
separate electronic system. Establishing a high-resolution interface<br />
over broad regions of the brain is infeasible under this constraint,<br />
as an electrode array with thousands of passive contacts would require<br />
thousands of wires to be individually connected. To overcome this<br />
limitation, we have developed new implantable electrode array<br />
technology that incorporates active, flexible electronics. This<br />
technology has enabled extremely flexible arrays of 720 and soon,<br />
thousands of multiplexed and amplified sensors spaced as closely as<br />
250 µm apart, which are connected using just a few wires. These<br />
devices yield an unprecedented level of spatial and temporal<br />
micro-electrocorticographic (µECoG) resolution for recording and<br />
stimulating distributed neural networks. µECoG is one of the many<br />
possible applications of this technology, which also include cardiac,<br />
peripheral nerve and retinal prosthetic devices. I will present the<br />
development of this technology and examples of retinotopic and<br />
tonotopic maps produced from in vivo recordings. I will also present<br />
examples of finely detailed spatial and temporal patterns from feline<br />
neocortex that give rise to seizures and suggest new stimulation<br />
paradigms to treat epilepsy.<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
Title: VISUS & Stuff I’ve done…<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau<br />
<br />
Title: Overview of Richard Bonneau's Research <br />
<br />
Our lab is focused on a number of computational biology problems that,<br />
if solved, would remove key bottlenecks in biology and systems<br />
biology. We focus on two main categories of computational biology:<br />
learning networks from functional genomics data and predicting and<br />
modeling protein structure. In the area of structure prediction we<br />
were early contributors to the Rosetta code; a platform for structure<br />
prediction, design and docking. In the area of network inference we<br />
worked on two computational methods that were used to demonstrate the<br />
first predictive genome-wide model of regulatory dynamics (i.e. the<br />
first case where a genome-wide model could predict the whole<br />
transcriptional state of cells at future time points not part of the<br />
training set). Both network inference and protein structure prediction<br />
remain grand challenges and in spite of our progress much exciting<br />
work remains to be done in the coming years as we continue to improve,<br />
scale and apply these methods.<br />
<br />
== Mar 21, 2012. Thomas J. Peters ==<br />
<br />
http://www.engr.uconn.edu/~tpeters/<br />
<br />
Title: Topological Biomolecular Steering</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4568Seminars2012-03-24T12:00:06Z<p>Llins: </p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
Title: Overview of Chris Bregler's Research<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
Title: High-Resolution Brain Machine Interfaces using Flexible SiliconElectronics: Research and Clinical Applications<br />
<br />
Current implantable brain devices for clinical and research<br />
applications require that each electrode is individually wired to a<br />
separate electronic system. Establishing a high-resolution interface<br />
over broad regions of the brain is infeasible under this constraint,<br />
as an electrode array with thousands of passive contacts would require<br />
thousands of wires to be individually connected. To overcome this<br />
limitation, we have developed new implantable electrode array<br />
technology that incorporates active, flexible electronics. This<br />
technology has enabled extremely flexible arrays of 720 and soon,<br />
thousands of multiplexed and amplified sensors spaced as closely as<br />
250 µm apart, which are connected using just a few wires. These<br />
devices yield an unprecedented level of spatial and temporal<br />
micro-electrocorticographic (µECoG) resolution for recording and<br />
stimulating distributed neural networks. µECoG is one of the many<br />
possible applications of this technology, which also include cardiac,<br />
peripheral nerve and retinal prosthetic devices. I will present the<br />
development of this technology and examples of retinotopic and<br />
tonotopic maps produced from in vivo recordings. I will also present<br />
examples of finely detailed spatial and temporal patterns from feline<br />
neocortex that give rise to seizures and suggest new stimulation<br />
paradigms to treat epilepsy.<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau<br />
<br />
Title: Overview of Richard Bonneau's Research <br />
<br />
Our lab is focused on a number of computational biology problems that,<br />
if solved, would remove key bottlenecks in biology and systems<br />
biology. We focus on two main categories of computational biology:<br />
learning networks from functional genomics data and predicting and<br />
modeling protein structure. In the area of structure prediction we<br />
were early contributors to the Rosetta code; a platform for structure<br />
prediction, design and docking. In the area of network inference we<br />
worked on two computational methods that were used to demonstrate the<br />
first predictive genome-wide model of regulatory dynamics (i.e. the<br />
first case where a genome-wide model could predict the whole<br />
transcriptional state of cells at future time points not part of the<br />
training set). Both network inference and protein structure prediction<br />
remain grand challenges and in spite of our progress much exciting<br />
work remains to be done in the coming years as we continue to improve,<br />
scale and apply these methods.<br />
<br />
== Mar 21, 2012. Thomas J. Peters ==<br />
<br />
http://www.engr.uconn.edu/~tpeters/<br />
<br />
Title: Topological Biomolecular Steering</div>Llinshttps://www.vistrails.org//index.php?title=DataVis2012/Schedule&diff=4565DataVis2012/Schedule2012-03-19T15:27:11Z<p>Llins: /* 3/5 2D Visualization Techniques */</p>
<hr />
<div>== 1/23: Introduction to visualization ==<br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Scientific Visualization<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec01-notes.pdf lec01-notes.pdf]<br />
<br />
Slides: TBA<br />
<br />
Animations: [http://www.cs.utah.edu/~csilva/courses/cs5630/fall2007/SevereTstorm.mov NCSA storm animation]<br />
<br />
Further reading:<br />
<br />
[http://www.cs.ubc.ca/labs/imager/tr/2009/VisChapter Visualization by Tamara Munzner] (see PDF on her page)<br />
<br />
(Optional reading) [http://www.sci.utah.edu/~csilva/papers/cise2008a.pdf Provenance for Computational Tasks: A Survey]<br />
<br />
(Optional reading) [http://www.cs.utah.edu/~csilva/courses/cs5630/reproducible_vis.pdf Provenance for Visualizations: Reproducibility and Beyond], C. Silva, J. Freire, and S. Callahan, IEEE Computing in Science and Engineering, 2008.<br />
<br />
== 1/30: The visualization pipeline ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Procedural vs. Dataflow programming; Using Dataflow for the Vis Pipeline; Dataflow programming with VTK; Dataflow programming with VisTrails; python.<br />
<br />
Notes: [http://www.cs.utah.edu/~csilva/courses/cs5630/lec02-notes.pdf lec02-notes.pdf]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=dataflow.pdf dataflow.pdf]<br />
<br />
Further reading:<br />
<br />
[http://www.cmake.org/cmake/help/cmake_tutorial.html CMake Tutorial]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials/New_Pipeline VTK Pipeline]<br />
<br />
[http://www.vtk.org/Wiki/VTK/Tutorials VTK Tutorial]<br />
<br />
[http://www.paraview.org/Wiki/The_ParaView_Tutorial ParaView Tutorial]<br />
<br />
== 2/6: Modeling Data for Visualization ==<br />
<br />
Lecturer: Claudio Silva<br />
<br />
Topics: Discrete vs continous data; Sampling and interpolation; Point vs triangulated data; Meshing data types; Regular vs irregular data; Tabular data; Vector and tensor fields; Geometry Processing: Reconstruction and meshing; Simplification; Smoothing; Other Filtering algorithms<br />
<br />
Topics (here???): Basic linear algebra; vectors; basic differential geometry (space curves, tangents, normals, surfaces); basic vector calculus (gradient, divergence, curl, gauss' theorem, green's theorem) <br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=week2.pdf modeling data]<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=processing.ppt processing.ppt] <br />
<br />
Further reading:<br />
<br />
[http://www.cs.wisc.edu/graphics/Courses/559-s2001/notes/hanrahan.pdf Basic Signal Processing]<br />
<br />
[http://graphics.cs.uiuc.edu/~garland/papers/quadrics.pdf Surface Simplification Using Quadric Error Metrics]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/vis2001b.pdf A Memory Insensitive Technique for Large Model Simplification]<br />
<br />
(Optional Reading) [http://graphics.cs.uiuc.edu/~garland/papers/TR-2004-2450.pdf Quadric-based Simplification in any Dimension]<br />
<br />
http://en.wikipedia.org/wiki/Least_squares<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~csilva/papers/sig2005.pdf Robust Moving Least-squares Fitting with Sharp Features]<br />
<br />
(Optional Reading) [http://www.sci.utah.edu/~cscheid/pubs/band_mls.pdf Optimal Bandwidth Selection for MLS Surfaces]<br />
<br />
== 2/13: Plotting == <br />
<br />
Lecturer: Claudio<br />
<br />
Topics: Simple Plotting Methods: Dot Plots, Connected Symbol Plots, Scatter Plots, Histograms, Others. Advanced Plotting Methods: Multimodal, Higher Dimensional, Correlation, Uncertainty and Variation.<br />
<br />
Notes: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingNotes.pdf PlottingNotes.pdf]<br />
<br />
Slides: [http://www.sci.utah.edu/~stevec/slides/SciVis/Plotting1.pdf Plotting1.pdf] and [http://www.vistrails.org/download/download.php?type=PUB&id=Plotting2.pdf Plotting2.pdf]<br />
<br />
Vistrails: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip] - Unzip this file in the examples directory of your VisTrails installation and it will add the vistrails along with their data sets (in the data directory). <br />
<br />
Further Reading:<br />
<br />
* The Elements of Graphing Data. William S. Cleveland, Hobart Press, 2nd Edition, 1994.<br />
<br />
* Visualizing Data. William S. Cleveland, Hobart Press, 1993.<br />
<br />
* The Visual Display of Quantitative Information. Edward R. Tufte, Graphics Press, 2001.<br />
<br />
* Visual Explanations: Images and Quantities, Evidence and Narrative. Edward R. Tufte, Graphics Press, 2997.<br />
<br />
* [http://www.fmrib.ox.ac.uk/analysis/techrep/tr00mj2/tr00mj2/node24.html Histogram Bin Size]<br />
<br />
* [http://en.wikipedia.org/wiki/Correlation Correlation]<br />
<br />
* [http://en.wikipedia.org/wiki/Linear_regression Linear Regression]<br />
<br />
* [http://en.wikipedia.org/wiki/Box_plot Box Plots]<br />
<br />
== 2/20: NO CLASS (President's Day) ==<br />
<br />
== 2/27: Color and Human Perception ==<br />
<br />
Lecturer: Huy Vo<br />
<br />
Topics: Human vision system; Optical illusions; Color Science; Color spaces; Color Blindness; Color maps;<br />
<br />
Notes: <br />
<br />
Slides: [http://www.cs.utah.edu/~csilva/courses/cs5630/human-vision.pdf human-vision.pdf] [http://www.cs.utah.edu/~csilva/courses/cs5630/colorvision-jens.pdf colorvision-jens.pdf]<br />
<br />
Links:<br />
<br />
* http://en.wikipedia.org/wiki/Eye<br />
<br />
* http://www.handprint.com/HP/WCL/color2.html<br />
<br />
* [http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm How NOT to Lie with Visualization], Bernice E. Rogowitz, Lloyd A. Treinish, IBM Research.<br />
<br />
* [http://www-graphics.stanford.edu/courses/cs248-08/color/color1.html Color Theory, ColorSpaces], Marc Levoy, Stanford Graphics Lab.<br />
<br />
* http://en.wikipedia.org/wiki/Opponent_process<br />
<br />
* http://en.wikipedia.org/wiki/Color_models<br />
<br />
* http://en.wikipedia.org/wiki/Absolute_color_space<br />
<br />
* http://en.wikipedia.org/wiki/Additive_color<br />
<br />
* http://en.wikipedia.org/wiki/Subtractive_color<br />
<br />
* http://en.wikipedia.org/wiki/RGB_color_model<br />
<br />
* http://en.wikipedia.org/wiki/SRGB_color_space<br />
<br />
* http://en.wikipedia.org/wiki/CIE_XYZ_color_space<br />
<br />
== 3/5 2D Visualization Techniques ==<br />
<br />
Lecturer: Lauro<br />
<br />
Topics: 2-D scalar fields: Color mapping; height fields; 2-D contours, marching tris, marching quads; 2-D vector fields: div, grad, curl in 2D; Glyphs; Steady vs Unsteady flows; 2-D streamlines, streaklines, pathlines<br />
<br />
Slides: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis.pdf 2D Scalar Fields (pdf file)]; [http://www.vistrails.org/download/download.php?type=PUB&id=2d_vector_vis.pdf 2d Vector Fields (pdf file)]<br />
<br />
Notes: [http://www.vistrails.org/download/download.php?type=PUB&id=2d_scalar_vis_notes.pdf 2d Scalar Fields (pdf file)]<br />
<br />
Vistrails: [http://www.vistrails.org/download/download.php?type=DATA&id=ozone_and_data.zip zip file with ozone.vt and data] [http://www.vistrails.org/download/download.php?type=DATA&id=asymptotic_decider.vt asymptotic decider in 2d] [http://www.vistrails.org/download/download.php?type=DATA&id=elevation.zip heightfields]<br />
<br />
Note: These vistrails use relative file paths so you don't need to change each of them individually to match your directory structure. Simply unzip the file to whichever location is more convenient. Then, inside VisTrails, open the VisTrails shell, type:<br />
<br />
import os<br />
os.chdir("c:/directory/where/you/unzipped/it")<br />
<br />
This will change the directory so you should be able to just run the pipelines.<br />
<br />
Further reading:<br />
<br />
[http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5290706 BubbleSets (technique that uses 2d countours)] [http://www.youtube.com/watch?v=Ju2hSThmPWA (video)]<br />
<br />
http://ieeexplore.ieee.org/iel5/4271943/4271944/04272091.pdf<br />
<br />
http://www.jstor.org/stable/pdfplus/2683294.pdf<br />
<br />
[http://www.inf.ufrgs.br/%7Eoliveira/pubs_files/Kuhn_Oliveira_Fernandes_Vis2008.pdf An Efﬁcient Naturalness-Preserving Image-Recoloring Method for Dichromats]<br />
<br />
== 3/12 NO CLASS (Spring Break) == <br />
<br />
<br />
== 3/19 Volume Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Slicing; Contours; Marching algorithms; Accelerating structures; High-quality contours<br />
<br />
Slides: <br />
<br />
References:<br />
<br />
== 3/26 Volume Visualization == <br />
<br />
Lecturer: <br />
<br />
Topics: Structured grid techniques: ray-casting, splatting, texture slicing, shear-warp; Unstructured grid techniques; Transfer function specification<br />
<br />
Slides: <br />
<br />
Notes: <br />
<br />
Vistrails: <br />
<br />
References:<br />
<br />
== 4/2 Midterm ==<br />
<br />
== 4/9 Vector & Tensor Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: DT/MRI intro, glyphs, colormapping, volume rendering; 3D techniques, critical points<br />
<br />
Slides: <br />
<br />
References: <br />
<br />
== 4/16: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:<br />
<br />
== 4/23: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:<br />
<br />
== 5/7: Information Visualization ==<br />
<br />
Lecturer: <br />
<br />
Topics: Parallel coordinates; Graph visualization; Trees and Graphs; InfoVis Examples<br />
<br />
Slides: <br />
<br />
Links:</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4564Seminars2012-03-15T13:27:47Z<p>Llins: /* Feb 8, 2012. Chris Bregler */</p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
Title: Overview of Chris Bregler's Research<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
Title: High-Resolution Brain Machine Interfaces using Flexible SiliconElectronics: Research and Clinical Applications<br />
<br />
Current implantable brain devices for clinical and research<br />
applications require that each electrode is individually wired to a<br />
separate electronic system. Establishing a high-resolution interface<br />
over broad regions of the brain is infeasible under this constraint,<br />
as an electrode array with thousands of passive contacts would require<br />
thousands of wires to be individually connected. To overcome this<br />
limitation, we have developed new implantable electrode array<br />
technology that incorporates active, flexible electronics. This<br />
technology has enabled extremely flexible arrays of 720 and soon,<br />
thousands of multiplexed and amplified sensors spaced as closely as<br />
250 µm apart, which are connected using just a few wires. These<br />
devices yield an unprecedented level of spatial and temporal<br />
micro-electrocorticographic (µECoG) resolution for recording and<br />
stimulating distributed neural networks. µECoG is one of the many<br />
possible applications of this technology, which also include cardiac,<br />
peripheral nerve and retinal prosthetic devices. I will present the<br />
development of this technology and examples of retinotopic and<br />
tonotopic maps produced from in vivo recordings. I will also present<br />
examples of finely detailed spatial and temporal patterns from feline<br />
neocortex that give rise to seizures and suggest new stimulation<br />
paradigms to treat epilepsy.<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau<br />
<br />
Title: Overview of Richard Bonneau's Research <br />
<br />
Our lab is focused on a number of computational biology problems that,<br />
if solved, would remove key bottlenecks in biology and systems<br />
biology. We focus on two main categories of computational biology:<br />
learning networks from functional genomics data and predicting and<br />
modeling protein structure. In the area of structure prediction we<br />
were early contributors to the Rosetta code; a platform for structure<br />
prediction, design and docking. In the area of network inference we<br />
worked on two computational methods that were used to demonstrate the<br />
first predictive genome-wide model of regulatory dynamics (i.e. the<br />
first case where a genome-wide model could predict the whole<br />
transcriptional state of cells at future time points not part of the<br />
training set). Both network inference and protein structure prediction<br />
remain grand challenges and in spite of our progress much exciting<br />
work remains to be done in the coming years as we continue to improve,<br />
scale and apply these methods.</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4563Seminars2012-03-15T13:27:09Z<p>Llins: /* Mar 14, 2012. Richard Bonneau */</p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
Title: High-Resolution Brain Machine Interfaces using Flexible SiliconElectronics: Research and Clinical Applications<br />
<br />
Current implantable brain devices for clinical and research<br />
applications require that each electrode is individually wired to a<br />
separate electronic system. Establishing a high-resolution interface<br />
over broad regions of the brain is infeasible under this constraint,<br />
as an electrode array with thousands of passive contacts would require<br />
thousands of wires to be individually connected. To overcome this<br />
limitation, we have developed new implantable electrode array<br />
technology that incorporates active, flexible electronics. This<br />
technology has enabled extremely flexible arrays of 720 and soon,<br />
thousands of multiplexed and amplified sensors spaced as closely as<br />
250 µm apart, which are connected using just a few wires. These<br />
devices yield an unprecedented level of spatial and temporal<br />
micro-electrocorticographic (µECoG) resolution for recording and<br />
stimulating distributed neural networks. µECoG is one of the many<br />
possible applications of this technology, which also include cardiac,<br />
peripheral nerve and retinal prosthetic devices. I will present the<br />
development of this technology and examples of retinotopic and<br />
tonotopic maps produced from in vivo recordings. I will also present<br />
examples of finely detailed spatial and temporal patterns from feline<br />
neocortex that give rise to seizures and suggest new stimulation<br />
paradigms to treat epilepsy.<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau<br />
<br />
Title: Overview of Richard Bonneau's Research <br />
<br />
Our lab is focused on a number of computational biology problems that,<br />
if solved, would remove key bottlenecks in biology and systems<br />
biology. We focus on two main categories of computational biology:<br />
learning networks from functional genomics data and predicting and<br />
modeling protein structure. In the area of structure prediction we<br />
were early contributors to the Rosetta code; a platform for structure<br />
prediction, design and docking. In the area of network inference we<br />
worked on two computational methods that were used to demonstrate the<br />
first predictive genome-wide model of regulatory dynamics (i.e. the<br />
first case where a genome-wide model could predict the whole<br />
transcriptional state of cells at future time points not part of the<br />
training set). Both network inference and protein structure prediction<br />
remain grand challenges and in spite of our progress much exciting<br />
work remains to be done in the coming years as we continue to improve,<br />
scale and apply these methods.</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4562Seminars2012-03-15T13:19:24Z<p>Llins: /* Feb 15, 2012. Jonathan Viventi */</p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
Title: High-Resolution Brain Machine Interfaces using Flexible SiliconElectronics: Research and Clinical Applications<br />
<br />
Current implantable brain devices for clinical and research<br />
applications require that each electrode is individually wired to a<br />
separate electronic system. Establishing a high-resolution interface<br />
over broad regions of the brain is infeasible under this constraint,<br />
as an electrode array with thousands of passive contacts would require<br />
thousands of wires to be individually connected. To overcome this<br />
limitation, we have developed new implantable electrode array<br />
technology that incorporates active, flexible electronics. This<br />
technology has enabled extremely flexible arrays of 720 and soon,<br />
thousands of multiplexed and amplified sensors spaced as closely as<br />
250 µm apart, which are connected using just a few wires. These<br />
devices yield an unprecedented level of spatial and temporal<br />
micro-electrocorticographic (µECoG) resolution for recording and<br />
stimulating distributed neural networks. µECoG is one of the many<br />
possible applications of this technology, which also include cardiac,<br />
peripheral nerve and retinal prosthetic devices. I will present the<br />
development of this technology and examples of retinotopic and<br />
tonotopic maps produced from in vivo recordings. I will also present<br />
examples of finely detailed spatial and temporal patterns from feline<br />
neocortex that give rise to seizures and suggest new stimulation<br />
paradigms to treat epilepsy.<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4561Seminars2012-03-15T13:19:11Z<p>Llins: /* Feb 15, 2012. Jonathan Viventi */</p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
High-Resolution Brain Machine Interfaces using Flexible SiliconElectronics: Research and Clinical Applications<br />
<br />
Current implantable brain devices for clinical and research<br />
applications require that each electrode is individually wired to a<br />
separate electronic system. Establishing a high-resolution interface<br />
over broad regions of the brain is infeasible under this constraint,<br />
as an electrode array with thousands of passive contacts would require<br />
thousands of wires to be individually connected. To overcome this<br />
limitation, we have developed new implantable electrode array<br />
technology that incorporates active, flexible electronics. This<br />
technology has enabled extremely flexible arrays of 720 and soon,<br />
thousands of multiplexed and amplified sensors spaced as closely as<br />
250 µm apart, which are connected using just a few wires. These<br />
devices yield an unprecedented level of spatial and temporal<br />
micro-electrocorticographic (µECoG) resolution for recording and<br />
stimulating distributed neural networks. µECoG is one of the many<br />
possible applications of this technology, which also include cardiac,<br />
peripheral nerve and retinal prosthetic devices. I will present the<br />
development of this technology and examples of retinotopic and<br />
tonotopic maps produced from in vivo recordings. I will also present<br />
examples of finely detailed spatial and temporal patterns from feline<br />
neocortex that give rise to seizures and suggest new stimulation<br />
paradigms to treat epilepsy.<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4560Seminars2012-03-15T00:54:50Z<p>Llins: </p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi<br />
<br />
== Feb 22, 2012. Marcel Hlawatsch ==<br />
<br />
http://www.vis.uni-stuttgart.de/~hlawatml<br />
<br />
== Mar 14, 2012. Richard Bonneau ==<br />
<br />
http://biology.as.nyu.edu/object/RichardBonneau</div>Llinshttps://www.vistrails.org//index.php?title=DataVis2012/Assignment_1&diff=4536DataVis2012/Assignment 12012-03-01T01:15:36Z<p>Llins: /* Problem 3: pipeline from C++ code */</p>
<hr />
<div>This is your first assignment for Data Visualization.<br />
<br />
The assignment is due at midnight on March 12th, 2012.<br />
<br />
One purpose of this initial assignment is to make sure you <br />
familiarize yourself with basic concepts of the VisTrails <br />
system, VTK, and matplotlib. As you work on it, we encourage <br />
you to read the available documentation on those <br />
tools (links available from the class wiki).<br />
<br />
You will need to install VisTrails on your machine. We suggest you use the latest version, VisTrails 2.0 beta, available here: http://www.vistrails.org/index.php/Downloads<br />
<br />
Use Vistrails file [http://www.vistrails.org/images/Assignment0.vt Assignment0.vt] as the starting point for problems 1-5, and [http://www.vistrails.org/images/Assignment1.vt Assignment1.vt]<br />
for problems 6-9 in this assignment. Open this file and start<br />
working on the problems. Save your progress. Don't worry if you make mistakes,<br />
that is the beauty in Vistrails you can always redo, undo and/or branch from<br />
any point in the history tree. In the end you will have an updated <br />
Assignment1.vt file with the original file plus all your work. This will <br />
be the file that you should turn in. <br />
<br />
The other purpose of this assignment is to make sure you understand the basic plotting <br />
concepts covered in class and learn matplotlib/python/Vistrails as a tool do<br />
produce plots. Examples of plotting were provided in the lectures <br />
and can be found here: [http://www.sci.utah.edu/~stevec/classes/cs5630/PlottingVistrails.zip PlottingVistrails.zip]. <br />
As you work on the assignment, we encourage you to read the available documentation <br />
on both [http://matplotlib.sourceforge.net/ matplotlib] and <br />
[http://www.diveintopython.net/ python].<br />
<br />
== Problem 1: query by tag, execute, annotate and query by example ==<br />
<br />
To make sure you know how to search<br />
versions in the history tree of Vistrails<br />
do the following simple tasks:<br />
<br />
1) Locate the version tagged "101" in the<br />
History tree. Use the text field close to the<br />
magnifying glass icon in the right side of the <br />
window. Execute this version and<br />
annotate it with the name that appears<br />
in the visualization.<br />
<br />
2) Find the only version in the history tree<br />
that has the pattern shown below. Use the<br />
query by example feature of Vistrails.<br />
Annotate this version with the word "ok".<br />
<br />
[[Image:Query-by-example.png]]<br />
<br />
== Problem 2: pipeline from an image ==<br />
<br />
From the root version on the history tree design a <br />
pipeline to reproduce the image below. <br />
<br />
Tag the version with the resulting pipeline with label "Problem 2".<br />
<br />
[[Image:Problem2.png]]<br />
<br />
== Problem 3: pipeline from C++ code ==<br />
<br />
Starting from the root version on the history<br />
tree design a pipeline that is equivalent<br />
to the C++ source [http://vgc.poly.edu/files/datavis/spring2012/contQuad.cxx contQuad.cxx].<br />
<br />
Tag the version of the resulting pipeline with label "Problem 3".<br />
<br />
== Problem 4: parameter exploration ==<br />
<br />
Find the version tagged "spx" in the history tree.<br />
Execute this version and play with the resulting <br />
visualization. The goal is to generate several <br />
isosurfaces of this model using the parameter <br />
exploration feature of Vistrails. <br />
<br />
First a modification in the "spx" pipeline is necessary to <br />
be able to extract a single isosurface of the model. Here <br />
are the steps: (1) modify the "spx" pipeline by inserting <br />
a "vtkContourFilter" in the middle of the connection from <br />
"vtkUnstructuredGridReader" to "vtkDataSetMapper" and (2) <br />
select the new "vtkContourFilter" and use the "SetValue" <br />
method with parameters 0 (Integer) and 0.5 (Float) to extract<br />
the isosurface of value 0.5 from the model. Execute this <br />
pipeline and you should see a green isosurface.<br />
<br />
With the "modified-from-spx" pipeline selected in the<br />
history tree go to the "Exploration" view of Vistrails.<br />
On the right side of the screen you should see the<br />
text "SetValue(0,0.5)". Drag this text to the middle of<br />
the screen. Now, for the Float parameter, select the <br />
range from 0.03 to 1. Choose to generate 6 steps in<br />
a single horizontal row of the spreadsheet. Press <br />
"Execute". As a result you should 6 isosurfaces in the<br />
spreadsheet. Identify the "red" one, and add it to the <br />
version tree. This can be done by going into the "View" <br />
menu on the spreadsheet, selecting "Editing Mode"<br />
and clicking on the "Create Version" icon in the spreadsheet <br />
cell showing the "red" isosurface. The history tree should have <br />
a new node that you should tag "Problem 4". (You can change <br />
the spreadsheet back to interactive mode by using the "View" <br />
menu again: "Interactive Mode".)<br />
<br />
== Problem 5: matplotlib ==<br />
<br />
In the version tree node "iso + histogram", part of the pipeline computes a <br />
histogram of the scalar values of a structured volumetric grid. As part of <br />
this problem, you need to compute the histogram for the unstructured grid <br />
from the version "spx". You should use 30 bins for your histogram.<br />
<br />
You should tag the version of the resulting pipeline as "Problem 5".<br />
<br />
== Problem 6: Principles of plotting and connectd symbols plot ==<br />
<br />
The data for the following four problems of this assignment are in four files: stocks.dat (problem 6), <br />
actions-fall-2007.dat (problem 7), microprocessors.dat (problem 8) and genes.dat (problem 9).<br />
These four files are packed into a single zip file called: Hw1data.zip. The task of unzipping <br />
and locating these files is already done in the starting vistrails file for this assignment: <br />
[http://www.vistrails.org/images/Assignment1.vt Assignment1.vt]. You should solve<br />
the problems by working directly in this vistrails file. When you open [http://www.vistrails.org/images/Assignment1.vt Assignment1.vt]<br />
you will see four tagged versions that basically loads the raw data needed in each of the four problems.<br />
As before, show your work by submitting the complete vistrail you used to solve the problems.<br />
<br />
The file ''stocks.dat'' has the first quote for each <br />
month from January 2006 to September 2008 for the papers <br />
from Apple Inc. (AAPL) and Microsoft Corporation (MSFT). <br />
Below we present the first three lines and the last two <br />
lines of this file.<br />
<br />
month,apple,microsoft<br />
2008-09,140.91,25.16<br />
2008-08,169.53,27.29<br />
...<br />
2006-02,68.49,25.92<br />
2006-01,75.51,27.06<br />
<br />
(a) Apply the principles of plotting described in class <br />
and in the class notes to generate a simple connected <br />
symbol plot for all Apple's quotes in the file <br />
''stocks.dat''. Tag the final version of this plot as <br />
"Problem 6a" and annotate it with an explanation <br />
of the plotting principles you used to make this <br />
a clear plot. <br />
<br />
(b) Using as reference the quote of January 2006 directly<br />
compare the progress of Apple's and Microsoft's papers by<br />
generating a plot using superposition (both curves in the <br />
same plot). Tag this final plot as "Problem 6b" and annotate<br />
it with the conclusions you can draw from this plot.<br />
<br />
(c) Repeat item b, but now using juxtaposition: split the <br />
two curves (i.e. Apple's paper progress relative to January <br />
2006 and Microsoft's paper progress relative to January 2006) <br />
into two different plots (each plot in a different spreadsheet<br />
cell). Tag the final version as "Problem 6c" and annotate it <br />
describing which technique (superpostion vs. juxtaposition) <br />
makes more sense for this data and why.<br />
<br />
== Problem 7: Histogram and number of bins ==<br />
<br />
In the Fall of 2007, during <br />
the Scientific Visualization Course we collected <br />
all the assignments of the students in Vistrails'<br />
format. The file ''actions_fall_2007.dat'' has all the <br />
timestamps of all the actions of all the students<br />
in all the assignments: a total of 132131 actions.<br />
The first three lines of this file are:<br />
<br />
timestamp<br />
2007-09-15 21:24:56<br />
2007-09-15 21:25:16<br />
...<br />
<br />
Create a histogram for the distribution of these timestamps and <br />
highlight the following due dates in the histogram. <br />
(obs. note that by some reason assignment 5 had a <br />
due data before assignment 6).<br />
<br />
| Assigment | Due Date |<br />
|-----------+---------------------|<br />
| 0 | 2007-09-18 12:00:00 |<br />
| 1 | 2007-09-18 12:00:00 |<br />
| 2 | 2007-10-04 12:00:00 |<br />
| 3 | 2007-10-25 12:00:00 |<br />
| 4 | 2007-11-27 12:00:00 |<br />
| 5 | 2007-12-15 12:00:00 |<br />
| 6 | 2007-12-11 12:00:00 |<br />
<br />
When you finish your histogram tag its pipeline <br />
version with "Problem 7". And annotate it <br />
answering the following questions:<br />
<br />
(a) How did you select the bins for the histogram<br />
and why?<br />
<br />
(b) What hypothesis can you make about the <br />
amount of work (i.e. number of actions) for <br />
the different assignments just by looking to <br />
this histogram.<br />
<br />
(c) What pattern can you observe for the amount<br />
of work (i.e. number of actions) close to the<br />
deadlines?<br />
<br />
== Problem 8: Dot plots for labeled data ==<br />
<br />
Each line of the file ''microprocessors.dat'' (except for the header line) has <br />
two quantitative values associated with a<br />
label. The quantitative values are "year of introduction"<br />
and "number of transistors" and the label is <br />
the name of a "microprocessor" (e.g. 286, 386, 486, Pentium 4). <br />
See the first three lines of this file:<br />
<br />
Processor,Year of Introduction,Transistors<br />
Pentium 4 processor,2000,42000000<br />
286,1982,120000<br />
...<br />
<br />
Generate two dot plots horizontally juxtaposed for these<br />
microprocessors: one for "year of introduction" <br />
and the other for "number of transistors".<br />
For "number of transistors" dot plot use log <br />
base 10 scale. The two plots should be in the same<br />
spreadsheet cell. Tag your final pipeline version<br />
as "Problem 8".<br />
<br />
== Problem 9: Correlation, scatterplots and regression ==<br />
<br />
Let A, B, C, D be four genes. A scientist measured the activity<br />
(i.e. the expression) of these genes in 100 different conditions. The<br />
results are given in file ''genes.dat''. Here are the first<br />
three lines of this file:<br />
<br />
A,B,C,D<br />
0.636244,0.239430,0.745650,0.900198<br />
0.342974,0.800676,0.375399,0.457818<br />
...<br />
<br />
Generate a 4 x 4 matrix of<br />
scatter plots to understand correlations between the four<br />
genes. Visually analyze the plot and rank the genes B, C, D in<br />
decrescent order of correlation to A. Now draw a linear best fit line<br />
in the plots of A with its most correlated gene, a cubic best fit<br />
curve in the plots of A with its second most correlated gene and a <br />
degree-5 polynomial best fit curve in the plots of A with its most <br />
uncorrelated gene. Tag the final pipeline version that does all <br />
this plots (in a single spreadsheet cell) as "Problem 9".</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4459Seminars2012-02-14T19:58:56Z<p>Llins: /* (tentative) Feb 15, 2012. Jonathan Viventi */</p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
== Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4391Seminars2012-02-01T15:12:30Z<p>Llins: </p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://www.dcc.ufam.edu.br/~eccv/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
== (tentative) Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi</div>Llinshttps://www.vistrails.org//index.php?title=Seminars&diff=4390Seminars2012-02-01T15:11:46Z<p>Llins: Created page with '== Feb 1, 2012. Eli Cortez == http://mrl.nyu.edu/~bregler/ Title: Information Extraction over Textual Sources Abstract: The growing use of text files for information exchange,…'</p>
<hr />
<div>== Feb 1, 2012. Eli Cortez ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
Title: Information Extraction over Textual Sources<br />
<br />
Abstract: The growing use of text files for information exchange, such as HTML pages, XML documents, e-mail, blogs posts, tweets, RSS and SMS messages, brings numerous problems related to how to properly exploit the information contained therein. In particular, problems related to Information Extraction (IE) from text have motivated several works in various scientific communities in areas such as Databases, Data Mining, Information Retrieval and Artificial Intelligence. In this talk, it will be presented an overview of the IE problem and methods that have been proposed in recent literature to deal with it. The IE problem consists in extracting values of interest arranged in unstructured texts, such as postal addresses, bibliographic citations, classified ads, that are implicitly present in textual sources from a variety of different domains. It will be discussed the main and most recent approaches proposed in the literature, with particular emphasis on probabilistic methods.<br />
<br />
== Feb 8, 2012. Chris Bregler ==<br />
<br />
http://mrl.nyu.edu/~bregler/<br />
<br />
== (tentative) Feb 15, 2012. Jonathan Viventi ==<br />
<br />
http://www.tneuro.com/jviventi</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1906VisLunch/Spring2009/2009-04-06T17:21:11Z<p>Llins: /* Vito Scarola - April 10, 2009 - 12pm - WEB 3760 */</p>
<hr />
<div>__NOTOC__<br />
<br />
== Vito Scarola - April 10, 2009 - 12pm - WEB 3760 ==<br />
<br />
'''Open Source Software for Physics Simulations'''<br />
<br />
''Vito Scarola''<br />
<br />
Theoretical studies in quantum many-body physics often rely on numerical algorithms to make progress in understanding complex correlated states of quantum matter. Historically, most researchers have independently developed and maintained codes to tackle their own specific problems. There is an ongoing effort to systematically incorporate and unify these codes into one comprehensive framework: the ALPS (Algorithms and Libraries for Physics Simulations) project. The ALPS project is an open source effort designed to promote learning and software reuse in the physics community. I will describe the ALPS framework for front end use, data storage and development. I will relate some of my own experiences working on the project and discuss open problems met by users and developers.<br />
<br />
'''Short Bio'''<br />
<br />
Vito Scarola is a computational physicist simulating models of quantum condensed matter. He is currently a postdoctoral researcher working in a joint position between UC Berkeley and ETH Zurich. [http://www.cchem.berkeley.edu/kbwgrp/scarola/ | http://www.cchem.berkeley.edu/kbwgrp/scarola/]<br />
<br />
== Raw Schedule from First Session ==<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1905VisLunch/Spring2009/2009-04-06T17:20:46Z<p>Llins: /* Vito Scarola - April 10, 2009 - 12pm - WEB 3760 */</p>
<hr />
<div>__NOTOC__<br />
<br />
== Vito Scarola - April 10, 2009 - 12pm - WEB 3760 ==<br />
<br />
'''Open Source Software for Physics Simulations'''<br />
<br />
''Vito Scarola''<br />
<br />
Theoretical studies in quantum many-body physics often rely on numerical algorithms to make progress in understanding complex correlated states of quantum matter. Historically, most researchers have independently developed and maintained codes to tackle their own specific problems. There is an ongoing effort to systematically incorporate and unify these codes into one comprehensive framework: the ALPS (Algorithms and Libraries for Physics Simulations) project. The ALPS project is an open source effort designed to promote learning and software reuse in the physics community. I will describe the ALPS framework for front end use, data storage and development. I will relate some of my own experiences working on the project and discuss open problems met by users and developers.<br />
<br />
'''Short Bio'''<br />
<br />
Vito Scarola is a computational physicist simulating models of quantum condensed matter. He is currently a postdoctoral researcher working in a joint position between UC Berkeley and ETH Zurich. [[http://www.cchem.berkeley.edu/kbwgrp/scarola/]]<br />
<br />
== Raw Schedule from First Session ==<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1904VisLunch/Spring2009/2009-04-06T17:20:12Z<p>Llins: /* Vito Scarola - April 10, 2009 - 12pm - WEB 3760 */</p>
<hr />
<div>__NOTOC__<br />
<br />
== Vito Scarola - April 10, 2009 - 12pm - WEB 3760 ==<br />
<br />
'''Open Source Software for Physics Simulations'''<br />
<br />
''Vito Scarola''<br />
<br />
Theoretical studies in quantum many-body physics often rely on numerical algorithms to make progress in understanding complex correlated states of quantum matter. Historically, most researchers have independently developed and maintained codes to tackle their own specific problems. There is an ongoing effort to systematically incorporate and unify these codes into one comprehensive framework: the ALPS (Algorithms and Libraries for Physics Simulations) project. The ALPS project is an open source effort designed to promote learning and software reuse in the physics community. I will describe the ALPS framework for front end use, data storage and development. I will relate some of my own experiences working on the project and discuss open problems met by users and developers.<br />
<br />
'''Short Bio'''<br />
<br />
Vito Scarola is a computational physicist simulating models of quantum condensed matter. He is currently a postdoctoral researcher working in a joint position between UC Berkeley and ETH Zurich. www.cchem.berkeley.edu/kbwgrp/scarola/<br />
<br />
== Raw Schedule from First Session ==<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1903VisLunch/Spring2009/2009-04-06T17:19:56Z<p>Llins: /* Vito Scarola - April 10, 2009 - 12pm - WEB 3760 */</p>
<hr />
<div>__NOTOC__<br />
<br />
== Vito Scarola - April 10, 2009 - 12pm - WEB 3760 ==<br />
<br />
'''Open Source Software for Physics Simulations'''<br />
''Vito Scarola''<br />
<br />
Theoretical studies in quantum many-body physics often rely on numerical algorithms to make progress in understanding complex correlated states of quantum matter. Historically, most researchers have independently developed and maintained codes to tackle their own specific problems. There is an ongoing effort to systematically incorporate and unify these codes into one comprehensive framework: the ALPS (Algorithms and Libraries for Physics Simulations) project. The ALPS project is an open source effort designed to promote learning and software reuse in the physics community. I will describe the ALPS framework for front end use, data storage and development. I will relate some of my own experiences working on the project and discuss open problems met by users and developers.<br />
<br />
'''Short Bio'''<br />
Vito Scarola is a computational physicist simulating models of quantum condensed matter. He is currently a postdoctoral researcher working in a joint position between UC Berkeley and ETH Zurich. www.cchem.berkeley.edu/kbwgrp/scarola/<br />
<br />
== Raw Schedule from First Session ==<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1902VisLunch/Spring2009/2009-04-06T17:18:07Z<p>Llins: </p>
<hr />
<div>__NOTOC__<br />
<br />
== Vito Scarola - April 10, 2009 - 12pm - WEB 3760 ==<br />
<br />
=== Open Source Software for Physics Simulations=== <br />
<br />
Theoretical studies in quantum many-body physics often rely on numerical algorithms to make progress in understanding complex correlated states of quantum matter. Historically, most researchers have independently developed and maintained codes to tackle their own specific problems. There is an ongoing effort to systematically incorporate and unify these codes into one comprehensive framework: the ALPS (Algorithms and Libraries for Physics Simulations) project. The ALPS project is an open source effort designed to promote learning and software reuse in the physics community. I will describe the ALPS framework for front end use, data storage and development. I will relate some of my own experiences working on the project and discuss open problems met by users and developers.<br />
<br />
=== Short Bio ===<br />
Vito Scarola is a computational physicist simulating models of quantum condensed matter. He is currently a postdoctoral researcher working in a joint position between UC Berkeley and ETH Zurich. www.cchem.berkeley.edu/kbwgrp/scarola/ <br />
<br />
== Raw Schedule from First Session ==<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1899VisLunch/Spring2009/2009-04-03T01:30:34Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
<br />
<br />
= Raw Schedule from First Session =<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1898VisLunch/Spring2009/2009-04-02T19:28:01Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Robust Detection and Classification of Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Visualizing the Effects of Repetitive Transcranial Magnetic Stimulation on Working Memory (VIS) <!-- Erik W. Anderson, Gilbert A. Preston, Claudio T. Silva--><br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --><br />
<br />
= Raw Schedule from First Session =<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1897VisLunch/Spring2009/2009-04-02T19:27:44Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Robust Detection and Classification of Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Visualizing the Effects of Repetitive Transcranial Magnetic Stimulation on Working Memory <!-- Erik W. Anderson, Gilbert A. Preston, Claudio T. Silva--><br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --> (VIS)<br />
<br />
= Raw Schedule from First Session =<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1896VisLunch/Spring2009/2009-04-02T19:27:23Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Robust Detection and Classification of Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Visualizing the Effects of Repetitive Transcranial Magnetic Stimulation on Working Memory <!-- Erik W. Anderson, Gilbert A. Preston, Claudio T. Silva--><br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --><br />
<br />
= Raw Schedule from First Session =<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1895VisLunch/Spring2009/2009-04-02T19:26:35Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Robust Detection and Classification of Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Visualizing the Effects of Repetitive Transcranial Magnetic Stimulation on Working Memory <!-- Erik W. Anderson, Gilbert A. Preston, Claudio T. Silva--><br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Robust Detection and Classification of Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
Visualizing the Effects of Repetitive Transcranial Magnetic Stimulation on Working Memory <!-- Erik W. Anderson, Gilbert A. Preston, Claudio T. Silva--><br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --><br />
<br />
= Raw Schedule from First Session =<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1894VisLunch/Spring2009/2009-04-02T19:20:32Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Robust Detection and Classification of Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
Visualizing the Effects of Repetitive Transcranial Magnetic Stimulation on Working Memory <!-- Erik W. Anderson, Gilbert A. Preston, Claudio T. Silva--><br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --><br />
<br />
= Raw Schedule from First Session =<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1893VisLunch/Spring2009/2009-04-02T18:33:14Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Robust Detection and Classification of Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
* Times Series (Erik)<br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --><br />
<br />
= Raw Schedule from First Session =<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1892VisLunch/Spring2009/2009-04-02T18:31:11Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
* Times Series (Erik)<br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --><br />
<br />
<br />
= Raw Schedule from First Session =<br />
<br />
=== VACET === <br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule === <br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1891VisLunch/Spring2009/2009-04-02T18:30:15Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Schlieren Flow Vis (VIS) <!-- Carson, Vincent --><br />
<br />
Confocal Microscopy (VIS) <!-- Yong --><br />
<br />
* Times Series (Erik)<br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --><br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1890VisLunch/Spring2009/2009-04-02T18:29:29Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
Schlieren Flow Vis <!-- Carson, Vincent --><br />
<br />
Confocal Microscopy <!-- Yong --><br />
<br />
* Times Series (Erik)<br />
<br />
<!-- ???Title???? Aaron Knoll and the Kaiserslautern folks sent in a paper as well. --><br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1889VisLunch/Spring2009/2009-04-02T18:26:27Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data (VIS) <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
<br />
* Times Series (Erik)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1888VisLunch/Spring2009/2009-04-02T18:26:08Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
Parallel Dataflow Scheme for Streaming (Un)Structured Data <!--''Huy T. Vo, Daniel K. Osmari, Brian Summa, Joao L.D. Comba, Valerio Pascucci, Claudio T. Silva'' --><br />
<br />
<br />
* Times Series (Erik)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1887VisLunch/Spring2009/2009-04-02T18:24:08Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data (VIS) <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications (VIS) <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction (VIS) <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups (INFOVIS) <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis (VIS) <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction (VIS) <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Critical Points in Vector Fields (VIS) <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization (INFOVIS) <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
* Times Series (Erik)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1886VisLunch/Spring2009/2009-04-02T18:23:00Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <!-- ''Emanuele Santos, Lauro Lins, James P. Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Critical Points in Vector Fields <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
* Times Series (Erik)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1885VisLunch/Spring2009/2009-04-02T18:21:16Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data <!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <!-- ''Emanuele Santos, Lauro Lins, Jim Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction <!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups <!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis <!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction <!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
Critical Points in Vector Fields <!-- ''Hao Wang, Valerio Pascucci, Claudio Silva --><br />
<br />
A Structured, Space Efficient Technique for Pedigree Visualization <!-- ''Claurissa Tuttle, Luis Gustavo Nonato, Claudio Silva'' --><br />
<br />
* Times Series (Erik)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1884VisLunch/Spring2009/2009-04-02T18:15:21Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data<br />
<!-- ''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson'' --><br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <br />
<!-- ''Emanuele Santos, Lauro Lins, Jim Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction<br />
<!-- ''John Schreiner, Joao Comba, Claudio Silva'' --><br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups <br />
<!-- ''Lauro Lins, David Koop, Juliana Freire, Claudio Silva'' --><br />
<br />
Collaborative Device-Driven Visualization with Avis<br />
<!-- ''Luiz Scheidegger, Jens Kruger'' --><br />
<br />
Verifiable Visualization for Isosurface Extraction<br />
<!-- ''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva'' --><br />
<br />
<br />
* Critical Points in Vector Fields (Hao/Valerio)<br />
* Display Wall Interactions (Luiz and Jens)<br />
* Verifiable Vis (Tiago/Gustavo)<br />
* Times Series (Erik)<br />
* Genealogy (Claurissa)<br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <br />
Emanuele Santos/Lauro Lins/Juliana Freire Claudio Silva<br />
<br />
* Out-of-core Afront (John, Joao)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
* DEFOG: Data Exploration with Faces, Objects, and Groups (Lauro Lins/David Koop/Juliana Freire/Claudio Silva)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1883VisLunch/Spring2009/2009-04-02T18:14:27Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data<br />
%''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson''<br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <br />
<!-- ''Emanuele Santos, Lauro Lins, Jim Ahrens, Juliana Freire, Claudio Silva'' --><br />
<br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction<br />
%''John Schreiner, Joao Comba, Claudio Silva''<br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups <br />
%''Lauro Lins, David Koop, Juliana Freire, Claudio Silva''<br />
<br />
Collaborative Device-Driven Visualization with Avis<br />
%''Luiz Scheidegger, Jens Kruger''<br />
<br />
Verifiable Visualization for Isosurface Extraction<br />
%''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva''<br />
<br />
<br />
* Critical Points in Vector Fields (Hao/Valerio)<br />
* Display Wall Interactions (Luiz and Jens)<br />
* Verifiable Vis (Tiago/Gustavo)<br />
* Times Series (Erik)<br />
* Genealogy (Claurissa)<br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <br />
Emanuele Santos/Lauro Lins/Juliana Freire Claudio Silva<br />
<br />
* Out-of-core Afront (John, Joao)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
* DEFOG: Data Exploration with Faces, Objects, and Groups (Lauro Lins/David Koop/Juliana Freire/Claudio Silva)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1882VisLunch/Spring2009/2009-04-02T18:12:29Z<p>Llins: /* VIS 2009 SCI Submission List */</p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data<br />
%''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson''<br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <br />
%''Emanuele Santos, Lauro Lins, Jim Ahrens, Juliana Freire, Claudio Silva''<br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction<br />
%''John Schreiner, Joao Comba, Claudio Silva''<br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups <br />
%''Lauro Lins, David Koop, Juliana Freire, Claudio Silva''<br />
<br />
Collaborative Device-Driven Visualization with Avis<br />
%''Luiz Scheidegger, Jens Kruger''<br />
<br />
Verifiable Visualization for Isosurface Extraction<br />
%''T.Etiene, C.Scheidegger, L.G.Nonato, R.M. Kirby, C.T.Silva''<br />
<br />
<br />
* Critical Points in Vector Fields (Hao/Valerio)<br />
* Display Wall Interactions (Luiz and Jens)<br />
* Verifiable Vis (Tiago/Gustavo)<br />
* Times Series (Erik)<br />
* Genealogy (Claurissa)<br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <br />
Emanuele Santos/Lauro Lins/Juliana Freire Claudio Silva<br />
<br />
* Out-of-core Afront (John, Joao)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
* DEFOG: Data Exploration with Faces, Objects, and Groups (Lauro Lins/David Koop/Juliana Freire/Claudio Silva)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1881VisLunch/Spring2009/2009-04-02T18:03:43Z<p>Llins: </p>
<hr />
<div>__NOTOC__<br />
<br />
= VIS 2009 SCI Submission List =<br />
<br />
A Flexible Approach for the Statistical Visualization of Ensemble Data<br />
''Kristin Potter, Andrew Wilson (SNL), Yan Zheng, Peer-Timo Bremer (LLNL), Valerio Pascucci, and Chris Johnson''<br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <br />
''Emanuele Santos, Lauro Lins, Juliana Freire, Claudio Silva''<br />
<br />
Accurate and Robust Out-of-Core Isosurface Extraction<br />
''John Schreiner, Joao Comba, Claudio Silva''<br />
<br />
DEFOG: Data Exploration with Faces, Objects, and Groups <br />
''Lauro Lins, David Koop, Juliana Freire, Claudio Silva''<br />
<br />
Collaborative Device-Driven Visualization with Avis<br />
Luiz Scheidegger, Jens Kruger,<br />
<br />
<br />
* Critical Points in Vector Fields (Hao/Valerio)<br />
* Display Wall Interactions (Luiz and Jens)<br />
* Verifiable Vis (Tiago/Gustavo)<br />
* Times Series (Erik)<br />
* Genealogy (Claurissa)<br />
<br />
VisMashup: Streamlining the Creation of Custom Visualization Applications <br />
Emanuele Santos/Lauro Lins/Juliana Freire Claudio Silva<br />
<br />
* Out-of-core Afront (John, Joao)<br />
* Parallel dataflow architecture (Huy, Joao, Daniel)<br />
* DEFOG: Data Exploration with Faces, Objects, and Groups (Lauro Lins/David Koop/Juliana Freire/Claudio Silva)<br />
<br />
<br />
<br />
Schlieren flow vis: Carson/Vincent<br />
<br />
Confocal Microscopy: Yong<br />
<br />
???Title????<br />
Aaron Knoll and the Kaiserslautern folks sent in a paper as well.<br />
<br />
<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1843VisLunch/Spring2009/2009-02-17T22:04:39Z<p>Llins: </p>
<hr />
<div>__NOTOC__<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julien Tierny<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1814VisLunch/Spring2009/2009-02-13T20:56:40Z<p>Llins: </p>
<hr />
<div>__NOTOC__<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Erik - timeseries<br />
02-27 Hao - detection of critical points<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julian<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1789VisLunch/Spring2009/2009-01-30T20:53:39Z<p>Llins: </p>
<hr />
<div>__NOTOC__<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Hao - detection of critical points<br />
02-27 Erik - timeseries<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julian<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1788VisLunch/Spring2009/2009-01-30T20:53:23Z<p>Llins: </p>
<hr />
<div>__NOTOC__<br />
<br />
=== VACET ===<br />
<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
=== Vislunch Schedule ===<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Hao - detection of critical points<br />
02-27 Erik - timeseries<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julian<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01 <br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Spring2009/&diff=1787VisLunch/Spring2009/2009-01-30T20:50:23Z<p>Llins: New page: Vislunch Spring 2009 *** VACET Emanuele - Scidat Hao - Topology *** Vislunch Schedule 02-06 Hao & Carlos - uncertainty 02-13 Carson 02-20 Hao - detection of critical points 02-27 E...</p>
<hr />
<div>Vislunch Spring 2009<br />
<br />
*** VACET<br />
Emanuele - Scidat<br />
Hao - Topology<br />
<br />
*** Vislunch Schedule<br />
<br />
02-06 Hao & Carlos - uncertainty<br />
02-13 Carson<br />
02-20 Hao - detection of critical points<br />
02-27 Erik - timeseries<br />
03-06 Erik <br />
03-13 Mathias<br />
03-20 Lin & Tiago<br />
03-27 Tiago <br />
04-03 Emanuele<br />
04-10 Julian<br />
04-17 Luiz & Alex<br />
04-24 Huy<br />
05-01<br />
05-08<br />
05-15<br />
05-22<br />
05-29<br />
06-05<br />
06-12<br />
06-19<br />
06-26<br />
07-03</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Fall2008&diff=1509VisLunch/Fall20082008-11-20T00:22:59Z<p>Llins: </p>
<hr />
<div>__NOTOC__<br />
<br />
== Coming up next Friday (11/21) ==<br />
<br />
=== Towards Gigapixel displays : What?, How? and Why? (Chris Goodyer) ===<br />
<br />
Chris Goodyer from the University of Leeds in the UK will be <br />
talking about his recent work on multi-monitor displays:<br />
<br />
http://www.comp.leeds.ac.uk/ceg/IB3dviewer.htm<br />
<br />
Here is his web page:<br />
<br />
http://www.comp.leeds.ac.uk/ceg/<br />
<br />
Towards Gigapixel displays : What?, How? and Why?<br />
<br />
Over the past couple of years there has been a growing trend for high<br />
resolution display walls, intriguingly named "gigapixel displays" or<br />
"powerwalls". These are tiled multile projectors or multiple screens<br />
connected to a cluster. Besides looking visually impressive there are<br />
important research questions concerning what advantages there would be to<br />
using them over conventional large displays. In addition, the methods used<br />
for interacting with applications running across such large numbers of<br />
displays needs to be carefully considered.<br />
<br />
In this talk I shall summarize some of the work we have been doing at the<br />
University of Leeds on our 53-megapixel wall. I will discuss several of<br />
the software environments available for deploying applications along with<br />
their shortcomings. I shall also pose the important questions of "How big<br />
is big enough?" and conversely "How big is too big?"<br />
<br />
== Sessions ==<br />
<br />
=== 08/29: Open Discussion and Semester Planning===<br />
<br />
Lauro's suggestion:<br />
<br />
Seeing in Four Dimensions<br />
<br />
The article<br />
http://www.sciencenews.org/view/generic/id/35740/title/Seeing_in_four_dimensions<br />
<br />
The site<br />
http://www.dimensions-math.org/<br />
<br />
Valerio Pascucci talked about his work of computing<br />
Reeb graphs.<br />
<br />
The original plan for the session:<br />
<br />
Our plan to this Friday's session is to have an open <br/><br />
discussion of any interesting ideas that you want to <br/><br />
bring in and to plan/schedule presentations for the <br/><br />
following Fridays. <br />
<br />
A common practice for VisLunch is to use some of its <br/><br />
sessions as a mean to let people know about the work <br/><br />
of the new people around: new faculties, new post docs, <br/><br />
new PhD. students . As there are lots of new faces <br/><br />
around, we hope to schedule some of these presentations <br/><br />
in this session.<br />
<br />
This semester Lauro Lins will be responsible for <br/><br />
organizing the VisLunch sessions. Here is his contact <br/><br />
informations:<br />
<br />
Lauro Lins<br />
Room: 4887<br />
Phone: 581-8061<br />
vislunch@sci.utah.edu<br />
<br />
And here is the wikipage where we want to keep <br/><br />
all the information related to this semesters' <br/><br />
VisLunch:<br />
<br />
http://www.vistrails.org/index.php/VisLunch/Fall2008<br />
<br />
=== 09/05 - Summer Internships One ===<br />
In this Vislunch session we are going to see what some <br/><br />
PhD. Students did in their summer internships. <br/><br />
This week we will have Carson Brownlee, <br/><br />
Erik Anderson, Mark Kim and David Koop <br/><br />
talking about... <br/> <br />
<br/><br />
<br />
'''Carson Brownlee''' (15 min) <br/><br />
Worked at LANL for the summer with Patrick McCormick <br/><br />
on an analytic visualization tool called SCOUT writing <br/><br />
volume renderers and animation systems. <br/><br />
He did do some work on visualizing cosmological <br/><br />
datasets (dark halos) and worked on simulating <br/><br />
Sclieren visualization which is an old optical <br/><br />
technique used to look at invisible differences <br/><br />
in inhomogeneous data (such as shockwaves or <br/><br />
heat dissipation). <br/><br />
<br/><br />
<br />
'''Erik Anderson''' (15 min) <br/><br />
Worked at Los Alamos National Lab (LANL) with <br/><br />
Jim Ahrens and Patrick McCormick. Iplemented a <br/><br />
method for discovering correlations in extremely <br/><br />
high dimensional datasets such as Oceanographic <br/><br />
data (3200 x 2400 x 42 x 114 x 52 (x,y,z,d,time)). <br/><br />
Additionally researched and implemented various <br/><br />
metrics to assist in distance visualization <br/><br />
prioritization and transmission. <br/><br />
<br/><br />
<br />
'''Mark Kim''' (15 min) <br/><br />
Worked at LANL under Pat McCormick on a vis tool <br/><br />
called Scout (just like Carson). He did some mundane <br/><br />
stuff like a volume renderer and spent some time <br/><br />
visualizing lyman alpha lines. He also wrote a <br/><br />
particle-mesh n-body simulator for Scout and in CUDA. <br/><br />
<br/><br />
<br />
'''David Koop''' (15 min.) <br/><br />
Worked at Microsoft Research on a workflow tool called <br/><br />
Trident (http://www.microsoft.com/mscorp/tc/trident.mspx). <br/><br />
Specifically, he worked on linking workflows with their <br/><br />
data inputs, and supporting general computational commands <br/><br />
like "process this data" or "re-run this workflow with <br/><br />
the latest data" using provenance, metadata, and semantics. <br/> <br />
This involved digging into Windows Workflow Foundation <br/><br />
(http://msdn.microsoft.com/en-us/netframework/aa663328.aspx) <br/> <br />
which Trident is based on, and figuring out how to extract <br/><br />
necessary metadata, inject input data, and capture <br/><br />
provenance information. <br/><br />
<br />
=== 09/12 - Summer Internships Two===<br />
In this Vislunch session we are going to see what some <br/><br />
PhD. Students did in their summer internships. <br/><br />
This week we will have Emanuele Santos, <br/><br />
Kristi Potter and Abe Stephens <br/><br />
talking about... <br/> <br />
<br/><br />
<br />
'''Emanuele Santos''' (15 min) <br/><br />
"I worked on manipulating collections of workflows. We <br/><br />
(joint work with Lauro, Claudio, Juliana and Jim Ahrens) <br/><br />
wrote a paper in which we propose different similarity <br/><br />
measures for comparing workflows. I also worked on <br/><br />
"Workflow Medleys", which is a framework to manipulate and <br/><br />
interact with collections of workflows that can be used to <br/><br />
generate user-driven visualizations. I also helped on <br/><br />
extending VisTrails and other tools to facilitate the creation <br/><br />
of documents (papers, presentations and web pages) containing <br/><br />
visualizations." <br/><br />
<br/><br />
<br />
'''Kristi Potter''' (15 min) <br/><br />
"My internship this summer was at Sandia national Labs in <br/><br />
Albuquerque, NM working with Andy Wilson. Our work focused <br/><br />
on the visualization of ensemble data in VTK. This type of data <br/><br />
consists of a collection of models run using various input <br/><br />
perturbations with the goal of getting a more accurate estimate <br/><br />
of the modeled phenomenon. Over the summer, we worked with <br/><br />
short-term weather forecast data. We have created a prototype <br/><br />
system to investigate methods for displaying this data, and <br/><br />
understanding the uncertainty and confidence levels associated <br/><br />
with the data." <br/><br />
<br/><br />
<br />
'''Abe Stephens''' (30 min) <br/><br />
This year at SIGGRAPH NVIDIA demonstrated an interactive <br/><br />
ray tracer running on the GPU at HD resolution. The example <br/><br />
has practical implications for both the graphics and the <br/><br />
GPU computing communities. This talk will offer some <br/><br />
observations about these implications, the state of parallel <br/><br />
programming in CUDA, and discuss hybrid tracing and <br/><br />
rasterization. Abe Stephens is graduate student finishing <br/><br />
his PhD at SCI with Steven Parker. He spent part of the <br/><br />
spring and summer collaborating with NVIDIA Research in <br/><br />
Santa Clara and Salt Lake City. <br/><br />
<br/><br />
<br />
=== 09/19 - Poisson Editing: Past, Present, and Future ===<br />
<br />
Friday 09/19, 12pm, in our VisLunch session <br/><br />
we are going to see Michael Bellem and Brian Summa <br/><br />
presenting: <br/><br />
<br />
''"Poisson Editing: Past, Present, and Future''<br/><br />
<br />
''Operating in the gradient-domain has become a standard <br/><br />
''method in image processing with applications in areas <br/><br />
''such as image compositing and tone-mapping. <br/><br />
<br />
''Tomorrow we will cover the general Poisson method for <br/><br />
''editing images in the gradient domain. Also, we will <br/><br />
''discuss the problems with this method when dealing <br/><br />
''with gigapixel sized images. We will look at how to <br/><br />
''extend and accelerate this method using quadtrees, <br/><br />
''and the most recent work in Poisson editing: streaming <br/><br />
''multigrid." <br/><br />
<br />
=== 09/26 - Robust analysis of Vector Field Topology ===<br />
<br />
Tomorrow (Friday 09/26, 12pm) in our VisLunch session <br/><br />
we are going to see Harsh Bhatia and Shreeraj Jadhav <br/><br />
presenting: <br/><br />
<br />
"Robust analysis of Vector Field Topology, <br/><br />
<br />
We will be speaking about the combinatorial ways of analyzing topology <br/><br />
of vector fields. More specifically, we will study the topology in terms of <br/><br />
directed graphs called Morse Connection Graphs (MCG), & <br/><br />
Entity Connection Graphs (ECG). We will do their comparative study, <br/><br />
and discuss their robustness. We will also discuss efficient algorithms to <br/><br />
generate the graphs. <br/><br />
<br />
The algorithms are suggested by Guoning Chen, Konstantin Mischaikow, <br/><br />
Robert S. Laramee, and Eugene Zhang in 'Efficient Morse Decompositions of Vector Fields', <br/><br />
published at IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, <br/><br />
VOL. 14, NO. 4, JULY/AUGUST 2008." <br/><br />
<br />
=== 10/03 VIS 2008 papers: Session I ===<br />
<br />
Tomorrow (Friday 10/03, 12pm) in our VisLunch session <br/><br />
we are going to see Carlos Scheidegger and David Koop <br/><br />
presenting their VIS 2008 papers: <br/><br />
<br />
'''Revisiting Histograms and Isosurface Statistics''' <br/><br />
Carlos Scheidegger, John Schreiner, Brian Duffy, Hamish Carr, Claudio Silva <br/><br />
http://www.sci.utah.edu/~cscheid/vis2008/histograms <br/><br />
<br />
''Abstract'' <br/><br />
Recent results have shown a link between geometric properties of isosurfaces and statistical properties of the underlying sampled data. However, this has two defects: not all of the properties described converge to the same solution, and the statistics computed are not always invariant under isosurface-preserving transformations. We apply Federer's Coarea Formula from geometric measure theory to explain these discrepancies. We describe an improved substitute for histograms based on weighting with the inverse gradient magnitude, develop a statistical model that is invariant under isosurface-preserving transformations, and argue that this provides a consistent method for algorithm evaluation across multiple datasets based on histogram equalization. We use our corrected formulation to reevaluate recent results on average isosurface complexity, and show evidence that noise is one cause of the discrepancy between the expected figure and the observed one.<br />
<br />
'''VisComplete: Automating Suggestions for Visualization Pipelines''' <br/><br />
David Koop, Carlos E. Scheidegger, Steven P. Callahan, Juliana Freire, Claudio T. Silva <br/><br />
<br />
''Abstract'' <br/><br />
Building visualization and analysis pipelines is a large hurdle in the adoption of visualization and workflow systems by domain scientists. In this paper, we propose techniques to help users construct pipelines by consensus—automatically suggesting completions based on a database of previously created pipelines. In particular, we compute correspondences between existing pipeline subgraphs from the database, and use these to predict sets of likely pipeline additions to a given partial pipeline. By presenting these predictions in a carefully designed interface, users can create visualizations and other data products more efficiently because they can augment their normal work patterns with the suggested completions. We present an implementation of our technique in a publicly-available, open-source scientific workflow system and demonstrate efficiency gains in real-world situations.<br />
<br />
=== 10/10 - Vis Conference: Jens, Geoff ===<br />
<br />
=== 10/17 - Fall Break (no lunch) ===<br />
<br />
=== 10/24 - VisWeek (no lunch) ===<br />
<br />
=== 10/31 - Vis Highlights ===<br />
<br />
=== 11/21 - Towards Gigapixel displays : What?, How? and Why? (Chris Goodyer) ===<br />
<br />
Chris Goodyer from the University of Leeds in the UK will be visiting on Nov 21.<br />
He is talking about his recent work on multi-monitor displays:<br />
<br />
http://www.comp.leeds.ac.uk/ceg/IB3dviewer.htm<br />
<br />
Here is his web page:<br />
<br />
http://www.comp.leeds.ac.uk/ceg/<br />
<br />
Towards Gigapixel displays : What?, How? and Why?<br />
<br />
Over the past couple of years there has been a growing trend for high<br />
resolution display walls, intriguingly named "gigapixel displays" or<br />
"powerwalls". These are tiled multile projectors or multiple screens<br />
connected to a cluster. Besides looking visually impressive there are<br />
important research questions concerning what advantages there would be to<br />
using them over conventional large displays. In addition, the methods used<br />
for interacting with applications running across such large numbers of<br />
displays needs to be carefully considered.<br />
<br />
In this talk I shall summarize some of the work we have been doing at the<br />
University of Leeds on our 53-megapixel wall. I will discuss several of<br />
the software environments available for deploying applications along with<br />
their shortcomings. I shall also pose the important questions of "How big<br />
is big enough?" and conversely "How big is too big?"<br />
<br />
== Mail List: vislunch@sci.utah.edu ==<br />
<br />
People that are currently in the vislunch mail list (29 total):<br />
<br />
Aaron Knoll Emanuele Santos Linh Ha <br />
Adam Bargteil Erik Anderson Mark Kim <br />
Berger Geoff Draper Mathias Schott <br />
Carlos Scheidegger Hao Wang Siddarth Shankar <br />
Carson Browlee Huy Vo Steve Callahan <br />
Charles Hansen Jens Kruger Tiago Etiene <br />
Chems Toutai<br />
Chris Johnson Jianrong Shu Valerio Pascucci <br />
Claudio Silva John Schreiner Wan Yong <br />
Claurissa Tuttle Josh Stratton <br />
David Koop Lauro Lins</div>Llinshttps://www.vistrails.org//index.php?title=VisLunch/Fall2008&diff=1452VisLunch/Fall20082008-10-27T16:27:08Z<p>Llins: /* 11/21 - Chris Goodyer */</p>
<hr />
<div>__NOTOC__<br />
<br />
== Coming up next Friday (10/03) ==<br />
=== VIS 2008 papers: Session I ===<br />
<br />
Tomorrow (Friday 10/03, 12pm) in our VisLunch session <br/><br />
we are going to see Carlos Scheidegger and David Koop <br/><br />
presenting their VIS 2008 papers: <br/><br />
<br />
'''Revisiting Histograms and Isosurface Statistics''' <br/><br />
Carlos Scheidegger, John Schreiner, Brian Duffy, Hamish Carr, Claudio Silva <br/><br />
http://www.sci.utah.edu/~cscheid/vis2008/histograms <br/><br />
<br />
''Abstract'' <br/><br />
Recent results have shown a link between geometric properties of isosurfaces and statistical properties of the underlying sampled data. However, this has two defects: not all of the properties described converge to the same solution, and the statistics computed are not always invariant under isosurface-preserving transformations. We apply Federer's Coarea Formula from geometric measure theory to explain these discrepancies. We describe an improved substitute for histograms based on weighting with the inverse gradient magnitude, develop a statistical model that is invariant under isosurface-preserving transformations, and argue that this provides a consistent method for algorithm evaluation across multiple datasets based on histogram equalization. We use our corrected formulation to reevaluate recent results on average isosurface complexity, and show evidence that noise is one cause of the discrepancy between the expected figure and the observed one.<br />
<br />
'''VisComplete: Automating Suggestions for Visualization Pipelines''' <br/><br />
David Koop, Carlos E. Scheidegger, Steven P. Callahan, Juliana Freire, Claudio T. Silva <br/><br />
<br />
''Abstract'' <br/><br />
Building visualization and analysis pipelines is a large hurdle in the adoption of visualization and workflow systems by domain scientists. In this paper, we propose techniques to help users construct pipelines by consensus—automatically suggesting completions based on a database of previously created pipelines. In particular, we compute correspondences between existing pipeline subgraphs from the database, and use these to predict sets of likely pipeline additions to a given partial pipeline. By presenting these predictions in a carefully designed interface, users can create visualizations and other data products more efficiently because they can augment their normal work patterns with the suggested completions. We present an implementation of our technique in a publicly-available, open-source scientific workflow system and demonstrate efficiency gains in real-world situations.<br />
<br />
== Sessions ==<br />
<br />
=== 08/29: Open Discussion and Semester Planning===<br />
<br />
Lauro's suggestion:<br />
<br />
Seeing in Four Dimensions<br />
<br />
The article<br />
http://www.sciencenews.org/view/generic/id/35740/title/Seeing_in_four_dimensions<br />
<br />
The site<br />
http://www.dimensions-math.org/<br />
<br />
Valerio Pascucci talked about his work of computing<br />
Reeb graphs.<br />
<br />
The original plan for the session:<br />
<br />
Our plan to this Friday's session is to have an open <br/><br />
discussion of any interesting ideas that you want to <br/><br />
bring in and to plan/schedule presentations for the <br/><br />
following Fridays. <br />
<br />
A common practice for VisLunch is to use some of its <br/><br />
sessions as a mean to let people know about the work <br/><br />
of the new people around: new faculties, new post docs, <br/><br />
new PhD. students . As there are lots of new faces <br/><br />
around, we hope to schedule some of these presentations <br/><br />
in this session.<br />
<br />
This semester Lauro Lins will be responsible for <br/><br />
organizing the VisLunch sessions. Here is his contact <br/><br />
informations:<br />
<br />
Lauro Lins<br />
Room: 4887<br />
Phone: 581-8061<br />
vislunch@sci.utah.edu<br />
<br />
And here is the wikipage where we want to keep <br/><br />
all the information related to this semesters' <br/><br />
VisLunch:<br />
<br />
http://www.vistrails.org/index.php/VisLunch/Fall2008<br />
<br />
=== 09/05 - Summer Internships One ===<br />
In this Vislunch session we are going to see what some <br/><br />
PhD. Students did in their summer internships. <br/><br />
This week we will have Carson Brownlee, <br/><br />
Erik Anderson, Mark Kim and David Koop <br/><br />
talking about... <br/> <br />
<br/><br />
<br />
'''Carson Brownlee''' (15 min) <br/><br />
Worked at LANL for the summer with Patrick McCormick <br/><br />
on an analytic visualization tool called SCOUT writing <br/><br />
volume renderers and animation systems. <br/><br />
He did do some work on visualizing cosmological <br/><br />
datasets (dark halos) and worked on simulating <br/><br />
Sclieren visualization which is an old optical <br/><br />
technique used to look at invisible differences <br/><br />
in inhomogeneous data (such as shockwaves or <br/><br />
heat dissipation). <br/><br />
<br/><br />
<br />
'''Erik Anderson''' (15 min) <br/><br />
Worked at Los Alamos National Lab (LANL) with <br/><br />
Jim Ahrens and Patrick McCormick. Iplemented a <br/><br />
method for discovering correlations in extremely <br/><br />
high dimensional datasets such as Oceanographic <br/><br />
data (3200 x 2400 x 42 x 114 x 52 (x,y,z,d,time)). <br/><br />
Additionally researched and implemented various <br/><br />
metrics to assist in distance visualization <br/><br />
prioritization and transmission. <br/><br />
<br/><br />
<br />
'''Mark Kim''' (15 min) <br/><br />
Worked at LANL under Pat McCormick on a vis tool <br/><br />
called Scout (just like Carson). He did some mundane <br/><br />
stuff like a volume renderer and spent some time <br/><br />
visualizing lyman alpha lines. He also wrote a <br/><br />
particle-mesh n-body simulator for Scout and in CUDA. <br/><br />
<br/><br />
<br />
'''David Koop''' (15 min.) <br/><br />
Worked at Microsoft Research on a workflow tool called <br/><br />
Trident (http://www.microsoft.com/mscorp/tc/trident.mspx). <br/><br />
Specifically, he worked on linking workflows with their <br/><br />
data inputs, and supporting general computational commands <br/><br />
like "process this data" or "re-run this workflow with <br/><br />
the latest data" using provenance, metadata, and semantics. <br/> <br />
This involved digging into Windows Workflow Foundation <br/><br />
(http://msdn.microsoft.com/en-us/netframework/aa663328.aspx) <br/> <br />
which Trident is based on, and figuring out how to extract <br/><br />
necessary metadata, inject input data, and capture <br/><br />
provenance information. <br/><br />
<br />
=== 09/12 - Summer Internships Two===<br />
In this Vislunch session we are going to see what some <br/><br />
PhD. Students did in their summer internships. <br/><br />
This week we will have Emanuele Santos, <br/><br />
Kristi Potter and Abe Stephens <br/><br />
talking about... <br/> <br />
<br/><br />
<br />
'''Emanuele Santos''' (15 min) <br/><br />
"I worked on manipulating collections of workflows. We <br/><br />
(joint work with Lauro, Claudio, Juliana and Jim Ahrens) <br/><br />
wrote a paper in which we propose different similarity <br/><br />
measures for comparing workflows. I also worked on <br/><br />
"Workflow Medleys", which is a framework to manipulate and <br/><br />
interact with collections of workflows that can be used to <br/><br />
generate user-driven visualizations. I also helped on <br/><br />
extending VisTrails and other tools to facilitate the creation <br/><br />
of documents (papers, presentations and web pages) containing <br/><br />
visualizations." <br/><br />
<br/><br />
<br />
'''Kristi Potter''' (15 min) <br/><br />
"My internship this summer was at Sandia national Labs in <br/><br />
Albuquerque, NM working with Andy Wilson. Our work focused <br/><br />
on the visualization of ensemble data in VTK. This type of data <br/><br />
consists of a collection of models run using various input <br/><br />
perturbations with the goal of getting a more accurate estimate <br/><br />
of the modeled phenomenon. Over the summer, we worked with <br/><br />
short-term weather forecast data. We have created a prototype <br/><br />
system to investigate methods for displaying this data, and <br/><br />
understanding the uncertainty and confidence levels associated <br/><br />
with the data." <br/><br />
<br/><br />
<br />
'''Abe Stephens''' (30 min) <br/><br />
This year at SIGGRAPH NVIDIA demonstrated an interactive <br/><br />
ray tracer running on the GPU at HD resolution. The example <br/><br />
has practical implications for both the graphics and the <br/><br />
GPU computing communities. This talk will offer some <br/><br />
observations about these implications, the state of parallel <br/><br />
programming in CUDA, and discuss hybrid tracing and <br/><br />
rasterization. Abe Stephens is graduate student finishing <br/><br />
his PhD at SCI with Steven Parker. He spent part of the <br/><br />
spring and summer collaborating with NVIDIA Research in <br/><br />
Santa Clara and Salt Lake City. <br/><br />
<br/><br />
<br />
=== 09/19 - Poisson Editing: Past, Present, and Future ===<br />
<br />
Friday 09/19, 12pm, in our VisLunch session <br/><br />
we are going to see Michael Bellem and Brian Summa <br/><br />
presenting: <br/><br />
<br />
''"Poisson Editing: Past, Present, and Future''<br/><br />
<br />
''Operating in the gradient-domain has become a standard <br/><br />
''method in image processing with applications in areas <br/><br />
''such as image compositing and tone-mapping. <br/><br />
<br />
''Tomorrow we will cover the general Poisson method for <br/><br />
''editing images in the gradient domain. Also, we will <br/><br />
''discuss the problems with this method when dealing <br/><br />
''with gigapixel sized images. We will look at how to <br/><br />
''extend and accelerate this method using quadtrees, <br/><br />
''and the most recent work in Poisson editing: streaming <br/><br />
''multigrid." <br/><br />
<br />
=== 09/26 - Robust analysis of Vector Field Topology ===<br />
<br />
Tomorrow (Friday 09/26, 12pm) in our VisLunch session <br/><br />
we are going to see Harsh Bhatia and Shreeraj Jadhav <br/><br />
presenting: <br/><br />
<br />
"Robust analysis of Vector Field Topology, <br/><br />
<br />
We will be speaking about the combinatorial ways of analyzing topology <br/><br />
of vector fields. More specifically, we will study the topology in terms of <br/><br />
directed graphs called Morse Connection Graphs (MCG), & <br/><br />
Entity Connection Graphs (ECG). We will do their comparative study, <br/><br />
and discuss their robustness. We will also discuss efficient algorithms to <br/><br />
generate the graphs. <br/><br />
<br />
The algorithms are suggested by Guoning Chen, Konstantin Mischaikow, <br/><br />
Robert S. Laramee, and Eugene Zhang in 'Efficient Morse Decompositions of Vector Fields', <br/><br />
published at IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, <br/><br />
VOL. 14, NO. 4, JULY/AUGUST 2008." <br/><br />
<br />
=== 10/03 - Vis Conference: Carlos, Dave ===<br />
<br />
=== 10/10 - Vis Conference: Jens, Geoff ===<br />
<br />
=== 10/17 - Fall Break (no lunch) ===<br />
<br />
=== 10/24 - VisWeek (no lunch) ===<br />
<br />
=== 10/31 - Vis Highlights ===<br />
<br />
=== 11/21 - Towards Gigapixel displays : What?, How? and Why? (Chris Goodyer) ===<br />
<br />
Chris Goodyer from the University of Leeds in the UK will be visiting on Nov 21.<br />
He is talking about his recent work on multi-monitor displays:<br />
<br />
http://www.comp.leeds.ac.uk/ceg/IB3dviewer.htm<br />
<br />
Here is his web page:<br />
<br />
http://www.comp.leeds.ac.uk/ceg/<br />
<br />
Towards Gigapixel displays : What?, How? and Why?<br />
<br />
Over the past couple of years there has been a growing trend for high<br />
resolution display walls, intriguingly named "gigapixel displays" or<br />
"powerwalls". These are tiled multile projectors or multiple screens<br />
connected to a cluster. Besides looking visually impressive there are<br />
important research questions concerning what advantages there would be to<br />
using them over conventional large displays. In addition, the methods used<br />
for interacting with applications running across such large numbers of<br />
displays needs to be carefully considered.<br />
<br />
In this talk I shall summarize some of the work we have been doing at the<br />
University of Leeds on our 53-megapixel wall. I will discuss several of<br />
the software environments available for deploying applications along with<br />
their shortcomings. I shall also pose the important questions of "How big<br />
is big enough?" and conversely "How big is too big?"<br />
<br />
== Mail List: vislunch@sci.utah.edu ==<br />
<br />
People that are currently in the vislunch mail list (29 total):<br />
<br />
Aaron Knoll Emanuele Santos Linh Ha <br />
Adam Bargteil Erik Anderson Mark Kim <br />
Berger Geoff Draper Mathias Schott <br />
Carlos Scheidegger Hao Wang Siddarth Shankar <br />
Carson Browlee Huy Vo Steve Callahan <br />
Charles Hansen Jens Kruger Tiago Etiene <br />
Chems Toutai<br />
Chris Johnson Jianrong Shu Valerio Pascucci <br />
Claudio Silva John Schreiner Wan Yong <br />
Claurissa Tuttle Josh Stratton <br />
David Koop Lauro Lins</div>Llins