81 search results - page 4 / 17 » On the Low Rank Solutions for Linear Matrix Inequalities |
SIAMMAX
2010
13 years 2 months ago
2010
The numerical solution of linear systems with certain tensor product structures is considered. Such structures arise, for example, from the finite element discretization of a line...
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...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...