Optimization Videos
From Wikimization
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(→Compressive Sampling, Compressed Sensing, University Minnesota) |
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[http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-4-07.ram June 4 2007] Sparsity. | [http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-4-07.ram June 4 2007] Sparsity. | ||
| - | [http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-5-07.ram June 5 2007] Norms. Early work by pioneers. ( | + | [http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-5-07.ram June 5 2007] (Audio begins 4 minutes into film.) |
| + | : Norms. | ||
| + | : Early work by pioneers (<math>\approx</math> 16 minutes into film). | ||
| + | : Deconvolution (<math>\approx</math> 30 minutes into film). | ||
| + | : Lasso, Basis Pursuit (<math>\approx</math> 38 minutes in). | ||
| + | : Feature separation (<math>\approx</math> 1:12 hours in). | ||
| + | : Barbara (<math>\approx</math> 1:15 hours in). | ||
| + | : Magnetic Resonance Imaging (MRI) (<math>\approx</math> 1:16 hours in). | ||
| + | |||
[http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-6-07.ram June 6 2007] | [http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-6-07.ram June 6 2007] | ||
Revision as of 16:49, 2 August 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 4 2007 Sparsity.
June 5 2007 (Audio begins 4 minutes into film.)
- Norms.
- Early work by pioneers (
16 minutes into film).
- Deconvolution (
30 minutes into film).
- Lasso, Basis Pursuit (
38 minutes in).
- Feature separation (
1:12 hours in).
- Barbara (
1:15 hours in).
- Magnetic Resonance Imaging (MRI) (
1:16 hours in).
June 6 2007
(If you only watch one Candes video, this is it.)
- Recovery of Dirac comb, derivation of minimum sampling rate (
11 minutes into film).
- 4:1 sample to sparsity rule (
21 minutes into film).
- Candes' Matlab code (
25 minutes in).
- Fundamental premises of Compressed Sensing: sparsity and incoherence (
29 minutes in).
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 Strategies: An Unmet Need by Randy Duensing & Feng Huang. (requires Adobe Flash Player)
- Username: 44141
- Password: Law