What is the relation between slow feature analysis and independent component analysis?

被引：62

作者：

Blaschke, Tobias ^{[1
]}

Berkes, Pietro ^{[1
]}

Wiskott, Laurenz ^{[1
]}

机构：

[1] Humboldt Univ, Inst Theoret Biol, D-10115 Berlin, Germany

来源：

NEURAL COMPUTATION | 2006年 / 18卷 / 10期

关键词：

D O I：

10.1162/neco.2006.18.10.2495

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2495 / 2508

页数：14

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