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Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
ISBN: 0-7695-2187-8
pp: 81-86
Luiz S. Oliveira , Pontifícia Universidade Católica do Paraná
Marisa Morita , Pontifícia Universidade Católica do Paraná
ABSTRACT
In this paper we discuss a strategy to create ensemble of classifiers based on unsupervised features selection. It takes into account a hierarchical multi-objective genetic algorithm that generates a set of classifiers by performing feature selection and then combines them to provide a set of powerful ensembles. The proposed method is evaluated in the context of handwritten month word recognition, using three different feature sets and Hidden Markov Models as classifiers. Comprehensive experiments demonstrates the effectiveness of the proposed strategy.
INDEX TERMS
Ensemble of Classifiers, Unsupervised Feature Selection, Handwriting Recognition, Multi-objective Optimization, Genetic Algorithms
CITATION
Luiz S. Oliveira, Marisa Morita, "Unsupervised Feature Selection for Ensemble of Classifiers", IWFHR, 2004, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition 2004, pp. 81-86, doi:10.1109/IWFHR.2004.105
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