94 search results - page 13 / 19 » Bayesian Non-negative Matrix Factorization |
IDA
2009
Springer
15 years 4 months 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 ...
98
Voted
ICML
2008
IEEE
15 years 11 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...
ICPR
2008
IEEE
15 years 4 months 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 ...
ICPR
2010
IEEE
15 years 5 months 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...
72
Voted
JMLR
2010
14 years 5 months ago
2010
