Information-Theoretic selection of classifiers for building multiple classifier systems

Authors:
Hee-Joong Kang;MoonWon Choo
Affiliations:
Department of Computer Engineering, Hansung University, Seoul, Korea;Division of Multimedia, Sungkyul University, Anyang-City, Kyunggi Province, Korea
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Year:
2005

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Abstract

Only a few studies have investigated on how to select component classifiers from a classifier pool. But, the performance of multiple classifier systems depends on the component classifiers as well as the combination methods. A couple of information-theoretic methods selecting the component classifiers by considering the relationship among classifiers are proposed in this paper. These methods are applied to the classifier pool and examine the possible classifier sets for building the multiple classifier systems. A classifier set is selected as a candidate and evaluated with the other classifier sets on the recognition of unconstrained handwritten numerals.