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» A comparison of evaluation methods in coevolution
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CEC
2005
IEEE
14 years 1 months ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
MVA
2007
132views Computer Vision» more  MVA 2007»
13 years 9 months ago
A Comparison of New Generic Camera Calibration with the Standard Parametric Approach
This paper deals with a recently proposed nonparametric approach to camera calibration, which is applicable to any type of sensor design. Currently, no relative quantitative perfo...
Aubrey K. Dunne, John Mallon, Paul F. Whelan
ESANN
2008
13 years 9 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
ACIVS
2006
Springer
14 years 1 months ago
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
ISBI
2009
IEEE
14 years 2 months ago
Nuclear Segmentation in Microscope Cell Images: A Hand-Segmented Dataset and Comparison of Algorithms
Image segmentation is an essential step in many image analysis pipelines and many algorithms have been proposed to solve this problem. However, they are often evaluated subjective...
Luís Pedro Coelho, Aabid Shariff, Robert F....