Independent Component Analysis

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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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Neural Networks and Applications Blind Source Separation Techniques Neural dynamics and brain function

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Published in: The MIT Press eBooks

DOI: 10.7551/mitpress/3717.003.0014

Field-Weighted Citation Impact: 492.62

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Independent Component Analysis

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