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» Sparse Numerical Semigroups
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NIPS
2004
15 years 1 months ago
Computing regularization paths for learning multiple kernels
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
Francis R. Bach, Romain Thibaux, Michael I. Jordan
PPSC
1997
15 years 1 months ago
Parallel Extensions to the Matrix Template Library
We present the preliminary design for a C++ template library to enable the compositional construction of matrix classes suitable for high performance numerical linear algebra comp...
Andrew Lumsdaine, Brian C. McCandless
ICASSP
2010
IEEE
14 years 12 months ago
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks
Co-clustering can be viewed as a two-way (bilinear) factorization of a large data matrix into dense/uniform and possibly overlapping submatrix factors (co-clusters). This combinat...
Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Ni...
CORR
2010
Springer
127views Education» more  CORR 2010»
14 years 12 months ago
Analysis of Basis Pursuit Via Capacity Sets
Finding the sparsest solution for an under-determined linear system of equations D = s is of interest in many applications. This problem is known to be NP-hard. Recent work studie...
Joseph Shtok, Michael Elad
CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 11 months ago
Robust Matrix Decomposition with Outliers
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
Daniel Hsu, Sham M. Kakade, Tong Zhang