Independent component analysis: algorithms and applications

A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons of computational and conceptual simplicity, the representation is often sought as a linear transformation of the origina...

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Vydáno v:	Neural networks Ročník 13; číslo 4; s. 411 - 430
Hlavní autoři:	Hyvärinen, A., Oja, E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.05.2000 Elsevier Science
Témata:	Algorithms Applied sciences Blind signal separation Brain - physiology Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Factor analysis Humans Independent component analysis Magnetoencephalography Neural networks Neural Networks (Computer) Normal Distribution Projection pursuit Representation Source separation Source separation Representation Factor analysis Projection pursuit Blind signal separation Independent component analysis Statistical analysis Probabilistic approach Theoretical study Random vector Pattern recognition Neural network Basis function Linear combination Linear transformation Algorithm analysis Principal component analysis
ISSN:	0893-6080, 1879-2782
On-line přístup:	Získat plný text
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