CS: Duke Compressive Sensing Workshop Videos.

Larry Carin just let me know that the videos of the talks of the Compressive Sensing Workshop that took place on February 25 & 26, 2009 at Duke University are up. Enjoy the popcorn. These videos are also listed in the Compressive Sensing Video page:

By the way, thank you to the organizers of the meeting: Larry Carin, Gregory Arnold, David Brady, Mauro Maggioni, Xiaobai Sun, and Rebecca Willett for making it happen.

Ronald Coifman - Compressed Sensing, Intrinsic Variables and Diffusion Geometries (video)

Stanley Osher - Bregmanized Methods for Sparse Reconstruction and Restoration (video)

Rama Chellappa and Volkan Cevher - Applications of Compressed Sensing Concepts to Some Computer Vision Problems (video)

Guillermo Sapiro - Learning Sparse Representations to Restore, Classify and Sense Images & Video (video)

Martin Wainwright - Graphical Model Selection in High-dimensions: Trade-offs Between Computational and Statistical Efficiency (video)

Mario Figueiredo - Iterative Shrinkage/Thresholding Algorithms: Some History and Recent Development (video)

Lee Potter - Bayes to the Bone: Sparse Linear Regression with Limited Data (video)

Kevin Murphy - Learning Graph Structures with Unknown Blocks (video)

Robert Calderbank - Deterministic Compressive Sensing Matrices (video)

Rob Nowak - Distilled Sensing: The Power of Adaptivity (video)

Rick Chartrand - Fast Algorithms for Nonconvex Compressive Sensing (video)

Joel Tropp - Beyond Nyquist: Efficient Sampling of Sparse, Bandlimited Signals (video)

Michael Lustig - Frontiers in Rapid MRI: Parallel Imaging and Compressed Sensing (video)

Mark Neifeld - Adaptation for Task-Specific Compressive Sensing (video)

Kevin Kelly - Micromirror-based Compressive Imaging and Spectroscopy (video)

David Brady - Coding and Regularization in Optical Sensor Forward and Inverse Models (video)

Venkatesh Saligrama - Noisy Group Testing and Boolean Compressed Sensing (video)

Yonina Eldar - Beyond Nyquist: Compressed Sensing of Analog Signals (video)

Justin Romberg - Multiple Channel Estimation and Compressive Sensing (video)

Donald Goldfarb - Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization (video)

Wotao Yin - Enhanced Compressed Sensing Based on Iterative Support Detection (video)

Thomas Blumensath - Iterative Hard Thresholding: Theory and Practice (video)

Richard Baraniuk - Model-based Compressive Sensing (video)

Rebecca Willet - Compressed Sensing in Low-Light Imaging (video)

George Papanicolaou - Resolution and Robustness of Array Imaging Algorithms Viewed with Compressive Sensing in Mind (video)

James McClellan - Compressive Sensing Data Acquisition and Imaging for GPR (video)

Mathias Seeger - Compressed Sensing for Medical Imaging (video)

Jian Li - On Sparse Bayesian Learning and Iterative Adaptive Approach (video)

David Wipf - Latent Variable Bayesian Models for Promoting Sparsity (video)

Lawrence Carin - Putting Compression into Compressive Sensing (video)

Credit: NASA/JPL/University of Arizona, Deimos, Moon of Mars as seen by the HiRise camera four days before the workshop.