Optimization Videos

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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  (Audio begins 4 minutes into film.)

Norms.
Early work by pioneers (LaTeX: \approx 16 minutes into film).
Deconvolution (LaTeX: \approx 30 minutes into film).
Lasso, Basis Pursuit (LaTeX: \approx 38 minutes in).
Wavelets, Curvelets, Ridgelets, sinusoids (LaTeX: \approx 55 minutes in).
Overcomplete Dictionary (LaTeX: \approx 57 minutes in).
Basis Pursuit (LaTeX: \approx 1:03 hours in).
Feature separation (LaTeX: \approx 1:12 hours in).
Barbara, Jean-Luc Stark (LaTeX: \approx 1:15 hours in).
Magnetic Resonance Imaging (MRI) (LaTeX: \approx 1:16 hours in).
Sample rate (LaTeX: \approx 1:36 hours in).

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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