66 search results - page 7 / 14 » Non-negative Matrix Factorization on Manifold |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be appl...
JMLR
2010
13 years 6 months 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...
SIGIR
2003
ACM
14 years 27 days ago
2003
ACM
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
AMFG
2005
IEEE
14 years 1 months ago
2005
IEEE
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Real world sounds often exhibit non-stationary spectral characteristics such as those produced by a harpsichord or a guitar. The classical Non-negative Matrix Factorization (NMF) ...