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ALGORITHMICA
1999
123views more  ALGORITHMICA 1999»
13 years 9 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
13 years 11 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
13 years 10 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
14 years 2 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
ICANN
2010
Springer
13 years 11 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