31 search results - page 5 / 7 » Non-negative matrix factorization with sparseness constraint... |
ISCAS
2008
IEEE
14 years 2 months ago
2008
IEEE
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are imposed on the C...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
This paper presents a blind dereverberation method designed to recover the subband envelope of an original speech signal from its reverberant version. The problem is formulated as...
EMMCVPR
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
The hierarchical non-negative matrix factorization (HNMF) is a multilayer generative network for decomposing strictly positive data into strictly positive activations and base vect...