Independent Component Analysis - Chapter 21: Feature Extraction by ICA

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Independent Component Analysis - Chapter 21: Feature Extraction by ICA

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A fundamental approach in signal processing is to design a statistical generative model of the observed signals. The components in the generative model then give a representation of the data. Such a representation can then be used in such tasks as compression, denoising, and pattern recognition. This approach is also useful from a neuroscientific viewpoint, for modeling the properties of neurons in primary sensory areas. In this chapter, we consider a certain class of widely used signals, which we call natural images....

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