477 search results - page 20 / 96 » Algorithms for Non-negative Matrix Factorization |
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
SLSFS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
IDA
2009
Springer
14 years 2 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 ...
IPM
2006
13 years 7 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...