23 search results - page 1 / 5 » Rank Aggregation via Nuclear Norm Minimization |
CORR
2011
Springer
12 years 8 months ago
2011
Springer
The process of rank aggregation is intimately intertwined with the structure of skew-symmetric matrices. We apply recent advances in the theory and algorithms of matrix completion...
SIAMREV
2010
12 years 11 months ago
2010
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
—Nuclear norm minimization (NNM) has recently gained attention for its use in rank minimization problems. In this paper, we define weak, sectional and strong recovery for NNM to...
CDC
2008
IEEE
13 years 4 months ago
2008
IEEE
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
The problem of minimizing the rank of a matrix subject to linear equality constraints arises in applications in machine learning, dimensionality reduction, and control theory, and...