An integrated fuzzy cells-classifier

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Abstract

This paper introduces a genetic algorithm able to combine different classifiers based on different distance functions. The use of a genetic algorithm is motivated by the fact that the combination phase is based on the optimization of a vote strategy. The method has been applied to the classification of four types of biological cells, results show an improvement of the recognition rate using the genetic algorithm combination strategy compared with the recognition rate of each single classifier.
Lingua originaleEnglish
pagine (da-a)214-219
Numero di pagine6
RivistaImage and Vision Computing
Volume25
Stato di pubblicazionePublished - 2007

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Vision and Pattern Recognition

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