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.
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Kittler, J., Poh, N., Merati, A. (2011). Cohort Based Approach to Multiexpert Class Verification. In: Sansone, C., Kittler, J., Roli, F. (eds) Multiple Classifier Systems. MCS 2011. Lecture Notes in Computer Science, vol 6713. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21557-5_34
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DOI: https://doi.org/10.1007/978-3-642-21557-5_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21556-8
Online ISBN: 978-3-642-21557-5
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