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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.
2020
2020
Non-Negative Matrix Factorization With Dual Constraints for Image Clustering
How to learn dimension-reduced representations of image data for clustering has been attracting much attention. Motivated by that… 
Highly Cited
2017
Highly Cited
2017
Non-Intrusive Energy Disaggregation Using Non-Negative Matrix Factorization With Sum-to-k Constraint
Energy disaggregation or non-intrusive load monitoring addresses the issue of extracting device-level energy consumption… 
Highly Cited
2014
Highly Cited
2014
Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition
Non-negative matrix factorization (NMF) has found numerous applications, due to its ability to provide interpretable… 
Highly Cited
2012
Highly Cited
2012
Mapping question items to skills with non-negative matrix factorization
Intelligent learning environments need to assess the student skills to tailor course material, provide helpful hints, and in… 
Highly Cited
2009
Highly Cited
2009
Convex Non-negative Matrix Factorization in the Wild
Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and… 
Highly Cited
2006
Highly Cited
2006
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of… 
Highly Cited
2006
Highly Cited
2006
Non-negative Matrix Factorization with Quasi-Newton Optimization
Non-negative matrix factorization (NMF) is an emerging method with wide spectrum of potential applications in data analysis… 
Highly Cited
2006
Highly Cited
2006
Ear Recognition using Improved Non-Negative Matrix Factorization
An improved non-negative matrix factorization with sparseness constraints (INMFSC) is proposed by imposing an additional… 
Highly Cited
2005
Highly Cited
2005
Email Surveillance Using Non-negative Matrix Factorization
In this study, we apply a non-negative matrix factorization approach for the extraction and detection of concepts or topics from… 
Highly Cited
2003
Highly Cited
2003
Non-negative matrix factorization for visual coding
This paper combines linear spun coding and nonnegative matrix factorization into sparse non-negative matrix factorization. In… 
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