Optimization Videos
From Wikimization
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(→Compressive Sampling, Compressed Sensing, University Minnesota) |
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: 4:1 sample to sparsity rule (<math>\approx</math> 21 minutes into film). | : 4:1 sample to sparsity rule (<math>\approx</math> 21 minutes into film). | ||
: [[Candes.m|Candes' Matlab code]] (<math>\approx</math> 25 minutes in). | : [[Candes.m|Candes' Matlab code]] (<math>\approx</math> 25 minutes in). | ||
| - | : <i> | + | : Fundamental premises of Compressed Sensing: <i>sparsity</i> and <i>incoherence</i> (<math>\approx</math> 29 minutes in). |
[http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-7-07.ram June 7 2007] | [http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-7-07.ram June 7 2007] | ||
Revision as of 22:17, 10 July 2008
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.