# Non-negative matrix factorization

## Papers overview

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Highly Cited

2009

Highly Cited

2009

- ICA
- 2009

We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priorsâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- Eighth IEEE International Conference on Dataâ€¦
- 2008

Recently non-negative matrix factorization (NMF) has received a lot of attentions in information retrieval, computer vision andâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- INTERSPEECH
- 2006

We apply machine learning techniques to the problem of separ ating multiple speech sources from a single microphone record ingâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- Bioinformatics
- 2005

MOTIVATION
Identifying different cancer classes or subclasses with similar morphological appearances presents a challengingâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Journal of Machine Learning Research
- 2004

Non-negative matrix factorization (NMF) is a recently deve loped technique for finding parts-based, linear representations of nonâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- 2004

In this paper, we propose a novel subspace method called Fisher non-negative matrix factorization (FNMF) for face recognitionâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- SIGIR
- 2003

In this paper, we propose a novel document clustering method based on the non-negative factorization of the term-document matrixâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- 2003

In this paper we present a methodology for analyzing polyphonic musical passages comprised by notes that exhibit a harmonicallyâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- ICASSP
- 2003

This paper combines linear sparse coding and nonnegative matrix factorization into sparse non-negative matrix factorization. Inâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

- NIPS
- 2000

Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. Twoâ€¦Â (More)

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