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107
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ICPR
2008
IEEE
15 years 9 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
117
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JISE
2010
144views more  JISE 2010»
14 years 9 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
94
Voted
IWCMC
2006
ACM
15 years 8 months ago
DSMA: an access method for MIMO ad hoc networks based on distributed scheduling
In this work, we analyze the effects of a distributed transmission coordination scheme that is particularly suited for ad hoc networks with the ability to exploit spatially–mult...
Paolo Casari, Marco Levorato, Michele Zorzi
118
Voted
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 8 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
139
Voted
EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 8 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks