Optimization Videos
From Wikimization
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[http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-15-07.ram June 15 2007] '''Topics and Applications of CS''' | [http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-15-07.ram June 15 2007] '''Topics and Applications of CS''' | ||
: Beyond L1 minimization (<math>\approx</math> 3 min in). | : Beyond L1 minimization (<math>\approx</math> 3 min in). | ||
- | : Reweighted TV for MRI phantom: recover using m=1.2S (S is number of non zero gradient terms) | + | : Reweighted TV for MRI phantom: recover using m=1.2S (S is number of non zero gradient terms) (<math>\approx</math> 14 min in). |
- | (<math>\approx</math> 14 min in). | + | |
: Overcomplete representations (<math>\approx</math> 19 min in). | : Overcomplete representations (<math>\approx</math> 19 min in). | ||
: Geometric separation: Cartoon + Texture (<math>\approx</math> 22 min in). | : Geometric separation: Cartoon + Texture (<math>\approx</math> 22 min in). |
Revision as of 17:42, 27 August 2008
Italic text== Compressive Sampling, Compressed Sensing, University Minnesota ==
Contents |
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).
- Wavelets, Curvelets, Ridgelets, sinusoids ( 55 minutes in).
- Overcomplete Dictionary ( 57 minutes in).
- Basis Pursuit ( 1:03 hours in).
- Feature separation ( 1:12 hours in).
- Barbara, Jean-Luc Stark ( 1:15 hours in).
- Magnetic Resonance Imaging (MRI) ( 1:16 hours in).
- Sample rate ( 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 ( 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).
June 11 2007 (Audio back at 17 minutes into film.)
- Matlab ( 1:15).
- MRI phantom with noise using Dantzig ( 1:28).
- Imaging fuel cells ( 1:31).
- Subsampling ( 1:36).
June 13 2007 Connections with Information and Coding Theory
- error correction (since the beginning).
- Matlab decode ( 20 min in).
- second error corruption model: gross error + quantization error ( 29 min in).
- Connection with the Sparse Recovery Problem ( 57 min in).
- Reed-Solomon code ( 1:08 min in).
- Matlab for Reed-Solomon code ( 1:26 min in).
June 14 2007 Modern Convex Optimization
- Unconstrained Minimization ( 11 min in).
- Matlab example for Gradient Descent with exact Line Search ( 19 min in).
- Exact line search vs. Backtracking line search ( 22 min in).
- Newton Step ( 26 min in).
- Self Concordance ( 35 min in).
- Equality Constrained Minimization ( 43 min in).
- Barrier function ( 47 min in).
- Central path ( 53 min in).
- Complexity analysis ( 1:14).
- Matlab for log-barrier ( 1:25).
- Primal-dual interior point methods ( 1:29).
June 15 2007 Topics and Applications of CS
- Beyond L1 minimization ( 3 min in).
- Reweighted TV for MRI phantom: recover using m=1.2S (S is number of non zero gradient terms) ( 14 min in).
- Overcomplete representations ( 19 min in).
- Geometric separation: Cartoon + Texture ( 22 min in).
- L1 synthesis vs. analysis for CS ( 28 min in).
- Pulse reconstruction using L1 synthesis, L1 analysis and reweighted L1 analysis( 36 min).
- ADC: nonuniform samplier vs. random pre-integrator ( 48 min).
Chromosome structure, University of California, San Diego
Ronan Fleming
Auto-correlation coefficients (6MB video) from Chromosome structure via Euclidean Distance Matrices.
International Society for Magnetic Resonance in Medicine (ISMRM Toronto 2008)
Randy Duensing & Feng Huang
(requires Adobe Flash Player)
Objective Comparison of Alternate Reconstruction Strategies: An Unmet Need
- Username: 44141
- Password: Law