49 search results - page 6 / 10 » Non-iterative generalized low rank approximation of matrices |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We generalize the Winnow algorithm for learning disjunctions to learning subspaces of low rank. Subspaces are represented by symmetric projection matrices. The online algorithm ma...
SIAMJO
2010
13 years 5 months ago
2010
This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood a...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...
SCL
2008
13 years 7 months ago
2008
ABSTRACT: Linear function approximations based on random projections are proposed and justified for a class of fixed point and minimization problems. KEY WORDS: random projections,...