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Cohort Based Approach to Multiexpert Class Verification

  • Josef Kittler
  • Norman Poh
  • Amin Merati
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6713)

Abstract

We address the problem of cohort based normalisation in multiexpert class verification. We show that there is a relationship between decision templates and cohort based normalisation methods. Thanks to this relationship, some of the recent features of cohort score normalisation techniques can be adopted by decision templates, with the benefit of noise reduction and the ability to compensate for any distribution drift.

Keywords

Equal Error Rate Class Identity Query Pattern False Acceptance Rate False Rejection Rate 
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 2011

Authors and Affiliations

  • Josef Kittler
    • 1
  • Norman Poh
    • 1
  • Amin Merati
    • 1
  1. 1.Centre for Vision, Speech and Signal ProcessingUniversity of SurreyGuildfordUK

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