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CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 2 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...
128
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WWW
2008
ACM
16 years 3 months ago
Offline matching approximation algorithms in exchange markets
Motivated by several marketplace applications on rapidly growing online social networks, we study the problem of efficient offline matching algorithms for online exchange markets....
Zeinab Abbassi, Laks V. S. Lakshmanan
99
Voted
CEC
2007
IEEE
15 years 8 months ago
On improving approximate solutions by evolutionary algorithms
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank ...
DSD
2010
IEEE
135views Hardware» more  DSD 2010»
15 years 2 months ago
An Approximate Maximum Common Subgraph Algorithm for Large Digital Circuits
—This paper presents an approximate Maximum Common Subgraph (MCS) algorithm, specifically for directed, cyclic graphs representing digital circuits. Because of the application d...
Jochem H. Rutgers, Pascal T. Wolkotte, Philip K. F...
123
Voted
PR
1998
86views more  PR 1998»
15 years 2 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...