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Highly Cited

2011

Highly Cited

2010

Highly Cited

2010

This paper presents an efficient image denoising scheme by using principal component analysis (PCA) with local pixel grouping… Expand

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Highly Cited

2009

Highly Cited

2009

Ink jet printing apparatus and method using timing control of electronic waveforms for variable gray scale printing while… Expand

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Highly Cited

2008

Highly Cited

2008

Principal component analysis (PCA) is a widely used tool for data analysis and dimension reduction in applications throughout… Expand

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Highly Cited

2004

Highly Cited

2004

Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means… Expand

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Highly Cited

1994

Highly Cited

1994

Abstract The independent component analysis (ICA) of a random vector consists of searching for a linear transformation that… Expand

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Highly Cited

1991

Highly Cited

1991

Nonlinear principal component analysis is a novel technique for multivariate data analysis, similar to the well-known method of… Expand

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Highly Cited

1989

Highly Cited

1989

Abstract We consider the problem of learning from examples in layered linear feed-forward neural networks using optimization… Expand

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Highly Cited

1987

Highly Cited

1987

Abstract Principal component analysis of a data matrix extracts the dominant patterns in the matrix in terms of a complementary… Expand

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Highly Cited

1971

Highly Cited

1971

SUMMARY Any matrix of rank two can be displayed as a biplot which consists of a vector for each row and a vector for each column… Expand

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