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.
CITATION STYLE
Hyvärinen, A., Hurri, J., & Hoyer, P. O. (2009). Independent Component Analysis (pp. 151–175). https://doi.org/10.1007/978-1-84882-491-1_7
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