Independent Component Analysis
The MIT Press eBooksPublished 3 September 2004
Citations7,998
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Abstract
In this chapter, we discuss a statistical generative model called independent component analysis. It is basically a proper probabilistic formulation of the ideas underpinning sparse coding. It shows how sparse coding can be interpreted as providing a Bayesian prior, and answers some questions which were not properly answered in the sparse coding framework.
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Computer ScienceNeuroscience