Optimization Videos

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(Compressive Sampling, Compressed Sensing, University Minnesota)
(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.
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[http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-5-07.ram June 5 2007]  Early work and researchers.
+
[http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-5-07.ram June 5 2007]  Early work by pioneers.
[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 16:59, 31 July 2008

Contents

Convex Optimization, Stanford

Tutorials for a graduate level course, 2008

Stephen Boyd

Compressive Sampling, Compressed Sensing, University Minnesota

Emmanuel Candes   (requires RealPlayer to watch)

June 4 2007  Sparsity.

June 5 2007  Early work by pioneers.

June 6 2007  (If you only watch one Candes video, this is it.)

Recovery of Dirac comb, derivation of minimum sampling rate (LaTeX: \approx 11 minutes into film).
4:1 sample to sparsity rule (LaTeX: \approx 21 minutes into film).
Candes' Matlab code (LaTeX: \approx 25 minutes in).
Fundamental premises of Compressed Sensing:  sparsity  and  incoherence  (LaTeX: \approx 29 minutes in).

June 7 2007

June 8 2007

June 11 2007

June 12 2007

June 13 2007

June 14 2007

June 15 2007

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)

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