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» The Mortality Problem for Matrices of Low Dimensions
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MST
2002
59views more  MST 2002»
13 years 4 months ago
The Mortality Problem for Matrices of Low Dimensions
In this paper we discuss the existence of an algorithm to decide if a given set of 2
Olivier Bournez, Michael S. Branicky
ICML
2004
IEEE
14 years 5 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
CORR
2011
Springer
202views Education» more  CORR 2011»
12 years 11 months ago
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
CVPR
2007
IEEE
14 years 6 months ago
Modeling Appearances with Low-Rank SVM
Several authors have noticed that the common representation of images as vectors is sub-optimal. The process of vectorization eliminates spatial relations between some of the near...
Lior Wolf, Hueihan Jhuang, Tamir Hazan
ICML
2007
IEEE
14 years 5 months ago
Winnowing subspaces
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...
Manfred K. Warmuth