Compressive Sensing Workshop: Leveraging Sparsity at UCLA & Beyond.

UCLA had a meeting on Compressive Sensing about two weeks ago, The presentations are here:

• Large, High-Dimensional Data Sets in Functional Neuroimaging - Mark Cohen
• Augmented L1 and Nuclear-Norm Models with Globally Linearly Convergent Algorithms - Wotao Yin
• Applications & Challenges of Compressive Sensing in Imaging & Spectroscopy - Kevin Kelly
• Automatic Target Recognition via Sparse Representations - Katia Estabridis
• Sparse Approximation by Wavelet Frames and Applications - Bin Dong
• Nonconvex Compressive Sensing - Rick Chartrand
• Accelerated Splitting Methods for L1 - Tom Goldstein

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