Sparsity: algorithms, approximations, and analysis

author: Anna Gilbert, University of Michigan
published: Jan. 25, 2012,   recorded: December 2011,   views: 9178
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Description

The last 15 years we have seen an explosion in the role of sparsity in mathematical signal and image processing, signal and image acquisition and reconstruction algorithms, and myriad applications. It is also central to machine learning. I will present an overview of the mathematical theory and several fundamental algorithmic results, including a fun application to solving Sudoku puzzles.

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Download slides icon Download slides: nips2011_gilbert_analysis_01.pdf (996.0┬áKB)


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Reviews and comments:

Comment1 tim, February 2, 2012 at 10:39 a.m.:

nice tutorial but the camera spends most of the time on the speaker not the presentation!


Comment2 pranava, February 8, 2012 at 6:21 p.m.:

@tim: the slides are to the right here on the webpage. That is precisely why the presentation is not focused but the speaker. Try dimming the lights or some.

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