239 search results - page 19 / 48 » Document clustering using nonnegative matrix factorization |
104
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IDA
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
118
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JMLR
2010
15 years 9 days ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
152
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CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
142
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BIBE
2007
IEEE
15 years 5 months ago
2007
IEEE
Non-negative matrix factorization (NMF) and non-negative tensor factorization (NTF) have attracted much attention and have been successfully applied to numerous data analysis probl...
146
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ICANNGA
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...