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Rejection versus error in a multiple experts environment

  • Louisa Lam
  • Ching Y. Suen
Rejection in Pattern Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)

Abstract

The combination of classifiers has become a very active research area in recent years, and many results have been obtained through various methods. This paper presents some of our theoretical and experimental work in this domain.

Keywords

Recognition Rate Majority Vote Rejection Rate Probabilistic Neural Network Optical Character Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Louisa Lam
    • 1
    • 2
  • Ching Y. Suen
    • 2
  1. 1.Department of MathematicsHong Kong Institute of EducationTai PoHong Kong
  2. 2.Centre for Pattern Recognition and Machine IntelligenceConcordia UniversityMontréalCanada

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