129 search results - page 15 / 26 » Self-Paced Learning for Matrix Factorization |
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
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ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionar...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
DAGSTUHL
2007
13 years 9 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...