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EVOW
2005
Springer
15 years 8 months ago
Population Training Heuristics
This work describes a new way of employing problem-specific heuristics to improve evolutionary algorithms: the Population Training Heuristic (PTH). The PTH employs heuristics in ...
Alexandre César Muniz de Oliveira, Luiz Ant...
103
Voted
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
15 years 4 months ago
Fitnessless coevolution
We introduce fitnessless coevolution (FC), a novel method of comparative one-population coevolution. FC plays games between individuals to settle tournaments in the selection pha...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
141
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CVPR
2008
IEEE
15 years 9 months ago
A Loopy Belief Propagation approach for robust background estimation
Background estimation, i.e. automatic recovery of the background image from a sequence of images containing moving foreground objects, is an important module in many applications,...
Xun Xu, Thomas S. Huang
ICCV
2009
IEEE
15 years 25 days ago
SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter
Geometric verification with RANSAC has become a crucial step for many local feature based matching applications. Therefore, the details of its implementation are directly relevant...
Torsten Sattler, Bastian Leibe, Leif Kobbelt
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 9 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller