561 search results - page 11 / 113 » Algorithms and applications for approximate nonnegative matr... |
159
Voted
BMCBI
2006
15 years 4 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
130
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
139
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BIOID
2008
2008
Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification
15 years 6 months ago
A novel Discriminant Non-negative Matrix Factorization (DNMF) method that uses projected gradients, is presented in this paper. The proposed algorithm guarantees the algorithm'...
147
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JMLR
2012
13 years 6 months ago
2012
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...