Maxat Tezekbayev

Deep Linear Discriminant Analysis Revisited

Maxat Tezekbayev, Rustem Takhanov, Arman Bolatov, Zhenisbek Assylbekov

Abstract We show that for unconstrained Deep Linear Discriminant Analysis (LDA) classifiers, maximum-likelihood training admits pathological solutions in which class means drift together, covariances collapse, and the learned representation becomes almost non-discriminative. Conv…Read more