Classifier combinations: Implementation and theoretical issues

Suk Wah Louisa LAM

Research output: Contribution to conferencePapers

94 Citations (Scopus)

Abstract

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.
Original languageEnglish
Publication statusPublished - 2000

Citation

Lam, S. W. L. (2000, June). Classifier combinations: Implementation and theoretical issues. Paper presented at The First International Workshop on Multiple Classifier System (MCS 2000), Santa Margherita di Pula, Sardinia, Italy.

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