132 search results - page 1 / 27 » Sparse Boolean Matrix Factorizations |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
CLA
2007
13 years 6 months ago
2007
Boolean factor analysis aims at decomposing an objects × attributes Boolean matrix I into a Boolean product of an objects × factors Boolean matrix A and a factors × attributes B...
DATESO
2008
13 years 6 months ago
2008
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
ISNN
2007
Springer
13 years 10 months ago
2007
Springer
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...