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(Neural Computation. 2006;18:2495-2508.)
© 2006 The MIT Press


Letter

What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?

Tobias Blaschke

t.blaschke{at}biologie.hu-berlin.de

Pietro Berkes

berkes{at}gatsby.ucl.ac.uk

Laurenz Wiskott

l.wiskott{at}biologie.hu-berlin.de Institute for Theoretical Biology, Humboldt University Berlin, D-10115 Berlin, Germany

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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