94 search results - page 13 / 19 » Bayesian Non-negative Matrix Factorization |
185
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IDA
2009
Springer
16 years 11 days ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
178
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
132
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ICPR
2008
IEEE
16 years 7 days ago
2008
IEEE
In this study Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF) and Nonnegative Tensor Factorization (NTF) are applied as dimension reduction methods in ...
149
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ICPR
2010
IEEE
16 years 25 days ago
2010
IEEE
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
131
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JMLR
2010
15 years 18 days ago
2010
