81 search results - page 6 / 17 » On the Low Rank Solutions for Linear Matrix Inequalities |
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper addresses the problem of segmenting a combination of linear subspaces and quadratic surfaces from sample data points corrupted by (not necessarily small) noise. Our mai...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we address the matrix completion problem and propose a novel algorithm based on a smoothed rank function (SRF) approximation. Among available algorithms like FPCA a...
NIPS
2004
13 years 9 months ago
2004
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
WAOA
2007
Springer
14 years 1 months ago
2007
Springer
We consider ranking and clustering problems related to the aggregation of inconsistent information. Ailon, Charikar, and Newman [1] proposed randomized constant factor approximatio...
SIAMJO
2010
13 years 5 months ago
2010
A linear matrix inequality (LMI) is a condition stating that a symmetric matrix whose entries are affine linear combinations of variables is positive semidefinite. Motivated by th...