Rapid and brief communication: Improving feature extraction by replacing the Fisher criterion by an upper error bound

Authors:
Karsten Luebke;Claus Weihs
Affiliations:
Fachbereich Statistik, Universität Dortmund, 44221 Dortmund, Germany;Fachbereich Statistik, Universität Dortmund, 44221 Dortmund, Germany
Venue:
Pattern Recognition
Year:
2005

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Abstract

A lot of alternatives and constraints have been proposed in order to improve the Fisher criterion. But most of them are not linked to the error rate, the primary interest in many applications of classification. By introducing an upper bound for the error rate a criterion is developed which can improve the classification performance.