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» Challenges in Evaluating Distributed Algorithms
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PPSN
2004
Springer
15 years 3 months ago
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible...
Bo Yuan, Marcus Gallagher
CORR
2008
Springer
99views Education» more  CORR 2008»
14 years 9 months ago
Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm
This paper combines the idea of a hierarchical distributed genetic algorithm with different interagent partnering strategies. Cascading clusters of sub-populations are built from ...
Uwe Aickelin, Larry Bull
ISHPC
2003
Springer
15 years 2 months ago
Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing
Most cluster systems used in high performance computing do not allow process relocation at run-time. Finding an allocation that results in minimal completion time is NP-hard and (n...
Lars Lundberg, Magnus Broberg, Kamilla Klonowska
CVPR
2007
IEEE
15 years 11 months ago
In Situ Evaluation of Tracking Algorithms Using Time Reversed Chains
Automatic evaluation of visual tracking algorithms in the absence of ground truth is a very challenging and important problem. In the context of online appearance modeling, there ...
Hao Wu, Aswin C. Sankaranarayanan, Rama Chellappa
CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...