Independent component analysis

Known as: Independent components analysis, TICA, Component analysis 
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents… (More)
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Highly Cited
2010
Highly Cited
2010
Give us 5 minutes and we will show you the best book to read today. This is it, the handbook of blind source separation… (More)
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Highly Cited
2002
Highly Cited
2002
We present a class of algorithms for Independent Component Analysis (ICA) which use contrast functions based on canonical… (More)
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Highly Cited
2002
Highly Cited
2002
A number of current face recognition algorithms use face representations found by unsupervised statistical methods. Typically… (More)
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Highly Cited
2001
Highly Cited
2001
In ordinary independent component analysis, the components are assumed to be completely independent, and they do not necessarily… (More)
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Highly Cited
2000
Highly Cited
2000
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of… (More)
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Highly Cited
1999
Highly Cited
1999
Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into… (More)
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Highly Cited
1999
Highly Cited
1999
This article considers high-order measures of independence for the independent component analysis problem and discusses the class… (More)
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Highly Cited
1998
Highly Cited
1998
This discussion paper proposes to generalize the notion of I dependent Component Analysis (ICA) to the notion of Multidimensional… (More)
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Highly Cited
1997
Highly Cited
1997
We introduce a novel fast algorithm for independent component analysis, which can be used for blind source separation and feature… (More)
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Highly Cited
1994
Highly Cited
1994
The independent component analysis (ICA) of a random vector consists of searching for a linear transformation that minimizes the… (More)
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