Classifier Combinations: Implementations and Theoretical Issues

Much work has been done in the past decade to combine decisions of multiple classifiers in order to obtain improved recognition results. Many methodologies have been designed and implemented for this purpose. This article considers some of the current developments according to the structure of the combination process, and discusses some issues involved in each structure. In addition, theoretical investigations that have been performed in this area are also examined, and some related issues are discussed.

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