49 search results - page 2 / 10 » Generalized low rank approximations of matrices |
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Recently four non-iterative algorithms for simultaneous low rank approximations of matrices (SLRAM) have been presented by several researchers. In this paper, we show that those a...
NIPS
2004
13 years 6 months ago
2004
We prove generalization error bounds for predicting entries in a partially observed matrix by fitting the observed entries with a low-rank matrix. In justifying the analysis appro...
IDEAL
2010
Springer
13 years 2 months ago
2010
Springer
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
JSCIC
2010
13 years 1 days ago
2010
We discuss the approximation of the meanfield terms appearing in computations of the multi-configuration time-dependent Hartree
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...