Derivation of LDA log likelihood ratio one-to-one classifier

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    Abstract

    The common expression for the Likelihood Ratio classifier using LDA assumes that the reference class mean is available. In biometrics, this is often not the case and only a single sample of the reference class is available. In this paper expressions are derived for biometric comparison between single reference and test samples and M test samples agains N reference samples.
    Original languageUndefined
    Pages (from-to)5
    Number of pages5
    JournalUniversity of Twente students journal of biometrics and computer vision
    Volume2014
    Issue number1
    DOIs
    Publication statusPublished - 2014

    Keywords

    • EWI-26578
    • PCA
    • Classification
    • LDA
    • IR-98696
    • Biometrics

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