Non-negative matrix factorization

Known as: Approximate nonnegative matrix factorization, NMF, Nonnegative matrix decomposition 
Non-negative matrix factorization (NMF), also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra… (More)
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Highly Cited
2009
Highly Cited
2009
We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors… (More)
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Highly Cited
2008
Highly Cited
2008
Recently non-negative matrix factorization (NMF) has received a lot of attentions in information retrieval, computer vision and… (More)
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Highly Cited
2006
Highly Cited
2006
We apply machine learning techniques to the problem of separ ating multiple speech sources from a single microphone record ing… (More)
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Highly Cited
2005
Highly Cited
2005
MOTIVATION Identifying different cancer classes or subclasses with similar morphological appearances presents a challenging… (More)
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Highly Cited
2004
Highly Cited
2004
Non-negative matrix factorization (NMF) is a recently deve loped technique for finding parts-based, linear representations of non… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we propose a novel subspace method called Fisher non-negative matrix factorization (FNMF) for face recognition… (More)
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Highly Cited
2003
Highly Cited
2003
In this paper, we propose a novel document clustering method based on the non-negative factorization of the term-document matrix… (More)
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Highly Cited
2003
Highly Cited
2003
In this paper we present a methodology for analyzing polyphonic musical passages comprised by notes that exhibit a harmonically… (More)
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Highly Cited
2003
Highly Cited
2003
This paper combines linear sparse coding and nonnegative matrix factorization into sparse non-negative matrix factorization. In… (More)
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Highly Cited
2000
Highly Cited
2000
Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. Two… (More)
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