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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… 
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Related topics

Related topics

42 relations
AlgorithmAudio signal processingAutostereoscopyBayesian network

Broader (1)

Linear algebra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Farness preserving Non-negative matrix factorization
Dramatic growth in the volume of data made a compact and informative representation of the data highly demanded in computer… 
2010
2010
Infinite non-negative matrix factorization
We propose the infinite non-negative matrix factorization (inmf) which assumes a potentially unbounded number of components in… 
2010
2010
Additive Non-negative Matrix Factorization for Missing Data
Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. We… 
2010
2010
Bayesian extensions of non-negative matrix factorization
Although non-negative matrix factorization has become a popular data analysis tool for non-negative data sets, there are still… 
2009
2009
Minimum Determinant Constraint for Non-negative Matrix Factorization
A glass sheet is provided with a coating which will automatically reflect infrared radiation if the ambient temperature is above… 
2009
2009
Incremental Learning in the Non-negative Matrix Factorization
The non-negative matrix factorization (NMF) is capable of factorizing strictly positive data into strictly positive activations… 
2005
2005
Natural image matting with non-negative matrix factorization
This paper addresses the well-known problem of natural image matting. It proposes a whole new framework that could effectively… 
2004
2004
Mining ratio rules via principal sparse non-negative matrix factorization
Association rules are traditionally designed to capture statistical relationship among itemsets in a given database. To… 
2003
2003
Face recognition with non-negative matrix factorization
A face can conceptually be represented as a collection of sparsely distributed parts: eyes, nose, mouth etc.We use Non-negative… 
2002
2002
Classifying Faces with Non-negative Matrix Factorization
This paper addresses the well-known problem of recognizing faces under several unfavorable situations. We have analyzed… 
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