Non-negative Matrix Factorization

Known as: NMF 
A pattern recognition alogrithm that identifies patterns that together explain the data as a linear combination of expression signatures.
National Institutes of Health

Topic mentions per year

Topic mentions per year

1990-2018
05010019902018

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Highly Cited
2011
Highly Cited
2011
Matrix factorization techniques have been frequently applied in information retrieval, computer vision, and pattern recognition… (More)
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Highly Cited
2011
Highly Cited
2011
Identifying overlapping communities in networks is a challenging task. In this work we present a probabilistic approach to… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper, a novel topology preserving non-negative matrix factorization (TPNMF) method is proposed for face recognition. We… (More)
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Highly Cited
2008
Highly Cited
2008
MOTIVATION When working with large-scale protein interaction data, an important analysis task is the assignment of pairs of… (More)
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Highly Cited
2008
Highly Cited
2008
The invariance relation existing in the non-negative matrix factorization (NMF) is used for constructing robust image hashes in… (More)
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Highly Cited
2007
Highly Cited
2007
Nonnegative matrix factorization (NMF) can be formulated as a minimization problem with bound constraints. Although bound… (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
2005
Highly Cited
2005
The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain… (More)
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Highly Cited
2003
Highly Cited
2003
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
1999
Highly Cited
1999
Is perception of the whole based on perception of its parts? There is psychological and physiological evidence for parts-based… (More)
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