13 search results - page 1 / 3 » Multiplicative update rules for nonnegative matrix factoriza... |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Multiplicative update algorithms have encountered a great success to solve optimization problems with non-negativity constraints, such as the famous non-negative matrix factorizat...
ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
Nonnegative matrix factorization (NMF) is a widely-used method for low-rank approximation (LRA) of a nonnegative matrix (matrix with only nonnegative entries), where nonnegativity...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
TIP
2010
13 years 3 months ago
2010
—We present in this paper a general formulation for nonnegative data factorization, called projective nonnegative graph embedding (PNGE), which 1) explicitly decomposes the data ...