Algorithms for non-negative matrix factorization (Q42307043)

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scientific article published on 2001

• Algorithms for Non-negative Matrix Factorization

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Language	Label	Description	Also known as
English	Algorithms for non-negative matrix factorization	scientific article published on 2001	Algorithms for Non-negative Matrix Factorization

Statements

instance of

scholarly article

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title

Algorithms for non-negative matrix factorization (English)

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sponsor

Bell Labs

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quotation

We acknowledge the support of Bell Laboratories. (English)

main subject

non-negative matrix factorization

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algorithm

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author

Daniel D. Lee

series ordinal

1

affiliation

Bell Labs

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Sebastian Seung

series ordinal

2

affiliation

Bell Labs

Massachusetts Institute of Technology Department of Brain and Cognitive Sciences

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language of work or name

English

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publication date

2001

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number of pages

7

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first line

Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. (English)

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official website

http://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization

language of work or name

English

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full work available at URL

http://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization.pdf

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published in

Advances in Neural Information Processing Systems 13

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page(s)

556-562

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cites work

Learning the parts of objects by non-negative matrix factorization

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