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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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Papers overview

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2016
2016
The aim of this paper is to provide some theoretical understanding of Bayesian non-negative matrix factorization methods, along… 
2014
2014
Internet availability on a campus is not metered. Internet link bandwidths are vulnerable as they can be misused. Moreover… 
2014
2014
We analyze the geometry behind the problem of non-negative matrix factorization (NMF) and devise yet another NMF algorithm. In… 
2007
2007
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations… 
Highly Cited
2006
Highly Cited
2006
In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search… 
2005
2005
In this paper we introduce a new type of weighted non-negative matrix factorization and we show that the popular algorithms of… 
2005
2005
In this paper, we propose a face recognition technique based on modification of the nonnegative matrix factorization (NMF… 
2005
2005
In this paper, a novel method for facial representation called Spatially Confined Non-Negative Matrix Factorization (SFNMF) is… 
2002
2002
This paper addresses the well-known problem of recognizing faces under several unfavorable situations. We have analyzed… 
2001
2001
The Vector Space Model (VSM) is a conventional information retrieval model, which represents a document collection by a term-by…