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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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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… 
2011
2011
Previous studies suggested that local appearance-based methods are more efficient than geometric-based and holistic methods for… 
2008
2008
With the advent of DNA microarrys, it is now possible to use the microarry data for tumor classification. Yet previous works have… 
2007
2007
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations… 
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… 
2002
2002
This paper addresses the well-known problem of recognizing faces under several unfavorable situations. We have analyzed… 
2002
2002
The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is able to… 
2001
2001
The Vector Space Model (VSM) is a conventional information retrieval model, which represents a document collection by a term-by…