A new dynamic ensemble selection method for numeral recognition

Authors:
Albert Hung-Ren Ko;Robert Sabourin;Alceu De Souza Britto, Jr.
Affiliations:
LIVIA, ETS, University of Quebec, Montreal, Quebec, Canada and PPGIA, Pontifical Catholic University of Parana, Curitiba, Brazil;LIVIA, ETS, University of Quebec, Montreal, Quebec, Canada and PPGIA, Pontifical Catholic University of Parana, Curitiba, Brazil;LIVIA, ETS, University of Quebec, Montreal, Quebec, Canada and PPGIA, Pontifical Catholic University of Parana, Curitiba, Brazil
Venue:
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Year:
2007

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Abstract

An ensemble of classifiers (EoC) has been shown to be effective in improving classifier performance. To optimize EoC, the ensemble selection is one of the most imporatant issues. Dynamic scheme urges the use of different ensembles for different samples, but it has been shown that dynamic selection does not give better performance than static selection. We propose a dynamic selection scheme which explores the property of the oracle concept. The result suggests that the proposed scheme is apparently better than the selection based on popular majority voting error.