Optimal combinations of pattern classifiers
Identifieur interne : 002947 ( Main/Exploration ); précédent : 002946; suivant : 002948Optimal combinations of pattern classifiers
Auteurs : Louisa Lam [Canada] ; Ching Y. Suen [Canada]Source :
- Pattern Recognition Letters [ 0167-8655 ] ; 1994.
Abstract
To improve recognition results, decisions of multiple classifiers can be combined. We study the performance of combination methods that are variations of the majority vote. A Bayesian formulation and a weighted majority vote (with weights obtained through a genetic algorithm) are implemented, and the combined performances of 7 classifiers on a large set of handwritten numerals are analyzed.
Url:
DOI: 10.1016/0167-8655(95)00050-Q
Affiliations:
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