# Independent component analysis

## Papers overview

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Highly Cited

2010

Highly Cited

2010

- 2010

Give us 5 minutes and we will show you the best book to read today. This is it, the handbook of blind source separationâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- ICASSP
- 2002

We present a class of algorithms for Independent Component Analysis (ICA) which use contrast functions based on canonicalâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- IEEE Trans. Neural Networks
- 2002

A number of current face recognition algorithms use face representations found by unsupervised statistical methods. Typicallyâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- Neural Computation
- 2001

In ordinary independent component analysis, the components are assumed to be completely independent, and they do not necessarilyâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

- Neural Networks
- 2000

A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation ofâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- IEEE Trans. Neural Networks
- 1999

Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector intoâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Neural Computation
- 1999

This article considers high-order measures of independence for the independent component analysis problem and discusses the classâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- ICASSP
- 1998

This discussion paper proposes to generalize the notion of I dependent Component Analysis (ICA) to the notion of Multidimensionalâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- Neural Computation
- 1997

We introduce a novel fast algorithm for independent component analysis, which can be used for blind source separation and featureâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- Signal Processing
- 1994

The independent component analysis (ICA) of a random vector consists of searching for a linear transformation that minimizes theâ€¦Â (More)

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