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ALGORITHMICA
1999
123views more  ALGORITHMICA 1999»
15 years 2 months ago
Distributed Matrix-Free Solution of Large Sparse Linear Systems over Finite Fields
We describe a coarse-grain parallel software system for the homogeneous solution of linear systems. Our solutions are symbolic, i.e., exact rather than numerical approximations. O...
Erich Kaltofen, A. Lobo
UAI
2008
15 years 3 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
ICASSP
2010
IEEE
15 years 2 months ago
Clustering disjoint subspaces via sparse representation
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
Ehsan Elhamifar, René Vidal
PPAM
2001
Springer
15 years 6 months ago
pARMS: A Package for Solving General Sparse Linear Systems on Parallel Computers
This paper presents an overview of pARMS, a package for solving sparse linear systems on parallel platforms. Preconditioners constitute the most important ingredient in the solutio...
Yousef Saad, Masha Sosonkina
119
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ICANN
2010
Springer
15 years 3 months ago
A Directional Laplacian Density for Underdetermined Audio Source Separation
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
Nikolaos Mitianoudis