66 search results - page 1 / 14 » Non-negative Matrix Factorization on Manifold |
CORR
2008
Springer
13 years 4 months ago
2008
Springer
Traditional Non-Negative Matrix Factorization (NMF) [19] is a successful algorithm for decomposing datasets into basis function that have reasonable interpretation. One problem of...
AAAI
2010
13 years 6 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Recently Non-negative Matrix Factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition. NMF aims to find two non-nega...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...