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11

ICA
2004
Springer

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A Model for Analyzing Dependencies Between Two ICA Features in Natural Images

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A Model for Analyzing Dependencies Between Two ICA Features in Natural Images

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Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes ﬁrst and second order statistics of other independent components in image patches. Essential for observing these dependencies is normalizing patch statistics, and selecting patches according to activation. We then estimate a model predicting the conditional statistics of a component using the properties of the corresponding feature as well as those of the conditioning feature.

Mika Inki

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Feature Changes | ICA 2004 | Independent Component Analysis | Independent Components |

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Added	01 Jul 2010
Updated	01 Jul 2010
Type	Conference
Year	2004
Where	ICA
Authors	Mika Inki

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