Ica basis for natural images summary of latent factor

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Unformatted text preview: with ICA •  Example: mixtures of speech signals •  Learning problem same as before: find weights from factors to observations, infer the unknown factor values for given input •  ICA: factors are called “sources”, learning is “unmixing” ICA Details ICA Intui4on PCA vs. ICA: Basis for Natural Images Summary of Latent Factor Methods •  Aim to find low-dimensional subspace that captures essential properties of data •  Assumes that even though data is high-dimensional, there are some small...
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This document was uploaded on 11/09/2013.

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