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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

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AlgorithmAudio signal processingAutostereoscopyBayesian network

Broader (1)

Linear algebra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… 
2007
2007
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations… 
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… 
2003
2003
A constrained non-negative matrix factorization in information retrieval
A novel method, which is called constrained non-negative matrix factorization, is presented to capture the latent semantic… 
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… 
Highly Cited
2002
Highly Cited
2002
Summarizing video using non-negative similarity matrix factorization
We present a novel approach to automatically extracting summary excerpts from audio video and video. Our approach is to maximize… 
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