Derivation of LDA log likelihood ratio one-to-one classifier
نویسندگان
چکیده
منابع مشابه
Derivation of LDA log likelihood ratio one-to-one classifier
In order to be able to design the likelihood ratio classifier, we make the following assumptions: • The conditional probability density functions p(x|ci) are normal with mean μi and covariance Ci • All classes have different mean, but the same covariance, i.e. Ci = Cw. This covariance is called the within class variance. The variance within a class is e.g. caused by expression and illumination ...
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ژورنال
عنوان ژورنال: University of Twente Students Journal of Biometrics and Computer Vision
سال: 2014
ISSN: 2451-9642
DOI: 10.3990/3.utsjbcv.i1.1