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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© 2009 Springer-Verlag London Limited
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Hyvärinen, A., Hurri, J., Hoyer, P.O. (2009). Independent Component Analysis. In: Natural Image Statistics. Computational Imaging and Vision, vol 39. Springer, London. https://doi.org/10.1007/978-1-84882-491-1_7
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DOI: https://doi.org/10.1007/978-1-84882-491-1_7
Publisher Name: Springer, London
Print ISBN: 978-1-84882-490-4
Online ISBN: 978-1-84882-491-1
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