What is the relation between slow feature analysis and independent component analysis?
Tobias Blaschke1, Pietro Berkes, Laurenz Wiskott
1t.blaschke@biologie.hu-berlin.de
Neural Computation
|August 16, 2006
Abstract:
We present an analytical comparison between linear slow feature analysis and second-order independent component analysis, and show that in the case of one time delay, the two approaches are equivalent. We also consider the case of several time delays and discuss two possible extensions of slow feature analysis.
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