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» Improving Difference Operators by Local Feature Detection
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GECCO
2003
Springer
14 years 1 months ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene
GLOBECOM
2008
IEEE
13 years 8 months ago
Improving BitTorrent Traffic Performance by Exploiting Geographic Locality
Abstract--Current implementations of BitTorrent-like P2P applications ignore the underlying Internet topology hence incur a large amount of traffic both inside an Internet Service ...
Chen Tian, Xue Liu, Hongbo Jiang, Wenyu Liu, Yi Wa...
PG
2007
IEEE
14 years 2 months ago
Fast and Faithful Geometric Algorithm for Detecting Crest Lines on Meshes
A new geometry-based finite difference method for a fast and reliable detection of perceptually salient curvature extrema on surfaces approximated by dense triangle meshes is pro...
Shin Yoshizawa, Alexander G. Belyaev, Hideo Yokota...
ASIAN
2004
Springer
117views Algorithms» more  ASIAN 2004»
14 years 1 months ago
The Feature Selection and Intrusion Detection Problems
Cyber security is a serious global concern. The potential of cyber terrorism has posed a threat to national security; meanwhile the increasing prevalence of malware and incidents o...
Andrew H. Sung, Srinivas Mukkamala
CVPR
2010
IEEE
14 years 4 months ago
Multi-Class Object Localization by Combining Local Contextual Interactions
Recent work in object localization has shown that the use of contextual cues can greatly improve accuracy over models that use appearance features alone. Although many of these mo...
Carolina Galleguillos, Brian McFee, Gert Lanckriet