Optimization Videos
From Wikimization
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== Chromosome structure, University of California, San Diego == | == Chromosome structure, University of California, San Diego == | ||
[http://www.convexoptimization.com/TOOLS/Multimodal_Empirical_Image_Correlation_Decomposition_Fleming.avi Auto-correlation coefficients (6MB video)] from [[Chromosome structure via Euclidean Distance Matrices]]. | [http://www.convexoptimization.com/TOOLS/Multimodal_Empirical_Image_Correlation_Decomposition_Fleming.avi Auto-correlation coefficients (6MB video)] from [[Chromosome structure via Euclidean Distance Matrices]]. | ||
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| + | == International Society for Magnetic Resonance in Medicine (ISMRM), Toronto 2008 == | ||
| + | [http://cds.ismrm.org/protected/08Presentations/1350WSSUnsolved Objective Comparison of Alternate Reconstruction Evaluation Strategies: An Unmet Need] by Feng Huang<br> | ||
| + | * User Name: 44141<br> | ||
| + | * Password: Law | ||
Revision as of 18:04, 11 July 2008
Contents |
Convex Optimization, Stanford
Tutorials for a graduate level course, 2008
Compressive Sampling, Compressed Sensing, University Minnesota
Emmanuel Candes (requires RealPlayer to watch)
June 6 2007 If you only watch one Candes video, this is it.
- 4:1 sample to sparsity rule (
21 minutes into film).
- Candes' Matlab code (
- Fundamental premises of Compressed Sensing: sparsity and incoherence (
Chromosome structure, University of California, San Diego
Auto-correlation coefficients (6MB video) from Chromosome structure via Euclidean Distance Matrices.
International Society for Magnetic Resonance in Medicine (ISMRM), Toronto 2008
Objective Comparison of Alternate Reconstruction Evaluation Strategies: An Unmet Need by Feng Huang
- User Name: 44141
- Password: Law