Improved graph-based SFA: information preservation complements the slowness principle

Escalante-B, AN; Wiskott, L

Escalante-B, AN (reprint author), Ruhr Univ Bochum, Inst Neuroinformat, Univ Str 150, D-44801 Bochum, Germany.

MACHINE LEARNING, 0; ():

Abstract

Slow feature analysis (SFA) is an unsupervised learning algorithm that extracts slowly varying features from a multi-dimensional time series. SFA has ......

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