Bayesian compressive sensing (Friday 10/15/2010)

Ayan discussed “Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds” by Chen. et. al. available here. This paper develops a Bayesian model for mixtures of factor analyzers in the framework of compressed sensing i.e. with sparsity constraints on the factors. This idea is used to model manifolds and related structures. The meeting notes are attached.

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