A pool of classifiers by SLP: a multi-class case

Authors:
Sarunas Raudys;Vitalij Denisov;Antanas Andrius Bielskis
Affiliations:
Institute of Mathematics and Informatics, Vilnius, Lithuania;Klaipeda University, Klaipeda, Lithuania;Klaipeda University, Klaipeda, Lithuania
Venue:
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Year:
2006

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Abstract

Dynamics of training the group of single layer perceptrons aimed to solve multi-class pattern recognition problem is studied. It is shown that in special training of the perceptrons, one may obtain a pool of different classification algorithms. Means to improve training speed and reduce generalization error are studied. Training dynamics is illustrated by solving artificial multi-class pattern recognition task and important real world problem: detection of ten types of yeast infections from 1500 spectral features.