Whitening

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(Introduction)
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which is needed for some algorithms.  If we are training on images,
which is needed for some algorithms.  If we are training on images,
the raw input is redundant, since adjacent pixel values
the raw input is redundant, since adjacent pixel values
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are highly correlated.  The goal of whitening is to make the input less redundant,  
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are highly correlated.  The goal of whitening is to make the input less redundant; more formally,
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so that our learning algorithms sees a training input where (i) the features are less
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our desiderata are that our learning algorithms sees a training input where (i) the features are less
correlated with each other, and (ii) the features all have the same variance.
correlated with each other, and (ii) the features all have the same variance.

Revision as of 23:31, 29 April 2011

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