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» Run-Time Techniques for Parallelizing Sparse Matrix Problems
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RECSYS
2010
ACM
13 years 7 months ago
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Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
SIAMSC
2011
177views more  SIAMSC 2011»
13 years 2 months ago
Computing f(A)b via Least Squares Polynomial Approximations
Given a certain function f, various methods have been proposed in the past for addressing the important problem of computing the matrix-vector product f(A)b without explicitly comp...
Jie Chen, Mihai Anitescu, Yousef Saad
ICASSP
2011
IEEE
12 years 11 months ago
Cosparse analysis modeling - uniqueness and algorithms
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
Sangnam Nam, Michael E. Davies, Michael Elad, R&ea...
JSS
2007
67views more  JSS 2007»
13 years 7 months ago
TFRP: An efficient microaggregation algorithm for statistical disclosure control
Recently, the issue of Statistic Disclosure Control (SDC) has attracted much attention. SDC is a very important part of data security dealing with the protection of databases. Micr...
Chin-Chen Chang, Yu-Chiang Li, Wen-Hung Huang
IPPS
1999
IEEE
13 years 11 months ago
Reducing I/O Complexity by Simulating Coarse Grained Parallel Algorithms
Block-wise access to data is a central theme in the design of efficient external memory (EM) algorithms. A second important issue, when more than one disk is present, is fully par...
Frank K. H. A. Dehne, David A. Hutchinson, Anil Ma...