44 search results - page 4 / 9 » Spectral norm of random matrices |
MA
2010
Springer
13 years 7 months ago
2010
Springer
We equip the polytope of n × n Markov matrices with the normalized trace of the Lebesgue measure of Rn2 . This probability space provides random Markov matrices, with i.i.d. rows...
ICASSP
2010
IEEE
13 years 8 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...
SIAMMAX
2010
13 years 3 months ago
2010
We investigate the structural, spectral, and sparsity properties of Stochastic Galerkin matrices as they arise in the discretization of linear differential equations with random co...
CDC
2008
IEEE
13 years 8 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...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...