Intelligent feature extraction for ensemble of classifiers

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Intelligent feature extraction for ensemble of classifiers

Radtke, Paulo V.W. and Sabourin, Robert and Wong, Tony

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2005

Abstract : This paper presents a two-level approach to create ensemble of classifiers based on intelligent feature extraction and multi-objective genetic optimization. The first stage optimizes a set of representations, which is used to create classifiers. The second stage then optimizes the ensemble’s aggregated classifiers. To assess the approach’s feasibility, a set of tests with isolated handwritten digits is performed. The experimental results encourage further researches in this direction, as the optimized ensemble of classifiers out-performs the single classifier approach. © 2005 IEEE.

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