19 search results - page 3 / 4 » Regularized Alternating Least Squares Algorithms for Non-neg... |
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
ICIP
2009
IEEE
13 years 3 months ago
2009
IEEE
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
ICASSP
2009
IEEE
13 years 3 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...