25 search results - page 3 / 5 » Convex and Semi-Nonnegative Matrix Factorizations |
ICASSP
2009
IEEE
13 years 9 months ago
2009
IEEE
In this paper we are interested in non-negative matrix factorization (NMF) with the Itakura-Saito (IS) divergence. Previous work has demonstrated the relevance of this cost functi...
SCIA
2009
Springer
14 years 6 days ago
2009
Springer
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
TIT
2010
13 years 11 days ago
2010
This paper is concerned with the problem of recovering an unknown matrix from a small fraction of its entries. This is known as the matrix completion problem, and comes up in a gr...
ISCAS
2008
IEEE
14 years 2 days 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...
ICCV
2005
IEEE
14 years 7 months ago
2005
IEEE
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...