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http://dx.doi.org/10.5302/J.ICROS.2010.16.1.096

Optimal Classifier Ensemble Design for Vehicle Detection Using GAVaPS  

Lee, Hee-Sung (연세대학교 전기전자공학부)
Lee, Jae-Hung (연세대학교 전기전자공학부)
Kim, Eun-Tai (연세대학교 전기전자공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.16, no.1, 2010 , pp. 96-100 More about this Journal
Abstract
This paper proposes novel genetic design of optimal classifier ensemble for vehicle detection using Genetic Algorithm with Varying Population Size (GAVaPS). Recently, many classifiers are used in classifier ensemble to deal with tremendous amounts of data. However the problem has a exponential large search space due to the increasing the number of classifier pool. To solve this problem, we employ the GAVaPS which outperforms comparison with simple genetic algorithm (SGA). Experiments are performed to demonstrate the efficiency of the proposed method.
Keywords
GA; GAVaPS; classifier ensemble; vehicle detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 1
연도 인용수 순위
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