Talks on Optimization

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(Toward 0-norm Reconstruction, and a Nullspace Technique for Compressive Sampling)
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== Highly Undersampled 0-Norm Reconstruction ==
== Highly Undersampled 0-Norm Reconstruction ==
[http://www.convexoptimization.com/TOOLS/Law.ppt Presented by Christine Law at Lucas Center for Imaging, Stanford University, July 9, 2008]  (771KByte)
[http://www.convexoptimization.com/TOOLS/Law.ppt Presented by Christine Law at Lucas Center for Imaging, Stanford University, July 9, 2008]  (771KByte)
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== Advances in Compressive Sensing for MRI ==
 
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[http://www.convexoptimization.com/TOOLS/SIAM_IS08_short2.ppt Presented by Joshua Trzasko with Armando Manduca at the SIAM Conference on Imaging Science 2008, San Diego, California, July 7, 2008]  (15MByte)
 
== Nonconvex Compressive Sensing ==
== Nonconvex Compressive Sensing ==
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== Bregman Iterative Algorithms for L1 Minimization with Applications to Compressed Sensing ==
== Bregman Iterative Algorithms for L1 Minimization with Applications to Compressed Sensing ==
[http://www.convexoptimization.com/TOOLS/sjo-BregmanIteration10-07.ppt Presented by Stanley Osher with W. Yin, D. Goldfarb, & J. Darbon at the iCME Colloquium (CME 500), Stanford University, December 3, 2007]  (400KByte)
[http://www.convexoptimization.com/TOOLS/sjo-BregmanIteration10-07.ppt Presented by Stanley Osher with W. Yin, D. Goldfarb, & J. Darbon at the iCME Colloquium (CME 500), Stanford University, December 3, 2007]  (400KByte)
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== Compressed Sensing: A Tutorial ==
 
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[http://users.ece.gatech.edu/~justin/ssp2007/ssp07-cs-tutorial.pdf by Justin Romberg & Michael Wakin at IEEE 14th Workshop on Statistical Signal Processing, Madison Wisconsin, August 26, 2007]
 

Revision as of 07:46, 3 September 2009

Contents

Slides, Powerpoint, and PDF Presentations

More talks, in video format.

Toward 0-norm Reconstruction, and a Nullspace Technique for Compressive Sampling

Presented by Christine Law with Gary Glover at the Linear Algebra Seminar, University of California, Berkeley, February 4, 2009  (5MB)

Also presented by Christine Law with Gary Glover at the Linear Algebra and Optimization Seminar (CME510), iCME, Stanford University, November 19, 2008

Combining Geometry and Combinatorics: A Unified Approach to Sparse Signal Recovery

Presented by Anna Gilbert at the Applied Mathematics Seminar, Stanford University, October 3, 2008

Compressed Sensing with Contiguous Fourier Measurements

Presented by Jean-François Mercier with Laurent Demanet and George Papanicolaou at the Applied Mathematics Seminar, Stanford University, July 21, 2008

Optimization Problems in Compressed Sensing

by Jalal Fadili, CNRS, ENSI Caen France, at the Applied Mathematics Seminar, Stanford University, July 21, 2008

Compressed Sensing in Astronomy

Presented by Jean-Luc Starck with Jérôme Bobin at the Applied Mathematics Seminar, Stanford University, July 21, 2008

Highly Undersampled 0-Norm Reconstruction

Presented by Christine Law at Lucas Center for Imaging, Stanford University, July 9, 2008  (771KByte)

Nonconvex Compressive Sensing

Presented by Rick Chartrand with Valentina Staneva, Wotao Yin, & Kevin Vixie at the SIAM Conference on Imaging Science 2008, San Diego, California, July 7, 2008

IPM per l’Ottimizzazione Conica: SOCP e SDP

Presented by Andrea Cassioli, Dipartimento di Sistemi e Informatica, Universitá di Firenze, May 28, 2008

Bregman Iterative Algorithms for L1 Minimization with Applications to Compressed Sensing

Presented by Stanley Osher with W. Yin, D. Goldfarb, & J. Darbon at the iCME Colloquium (CME 500), Stanford University, December 3, 2007  (400KByte)

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