25 search results - page 1 / 5 » Convex and Semi-Nonnegative Matrix Factorizations |
PAMI
2010
13 years 3 months ago
2010
CORR
2008
Springer
13 years 4 months ago
2008
Springer
We present a convex formulation of dictionary learning for sparse signal decomposition. Convexity is obtained by replacing the usual explicit upper bound on the dictionary size by...
Publication
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract—Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and computer vision. It factorizes a non-negative...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...