561 search results - page 8 / 113 » Algorithms and applications for approximate nonnegative matr... |
CORR
2004
Springer
13 years 7 months ago
2004
Springer
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
In this paper, we present a novel algorithm for representing facial expressions. The algorithm is based on the non-negative matrix factorization (NMF) algorithm, which decomposes ...
FLAIRS
2010
13 years 9 months ago
2010
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
JMLR
2010
13 years 5 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...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper, we present several descent methods that can be applied to nonnegative matrix factorization and we analyze a recently developped fast block coordinate method. We als...