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» Run-Time Techniques for Parallelizing Sparse Matrix Problems
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RECSYS
2010
ACM
15 years 4 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»
14 years 11 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
14 years 8 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»
15 years 4 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
15 years 9 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...