GENERATIVE EMBEDDINGS BASED ON RICIAN MIXTURES: APPLICATION TO KERNEL-BASED DISCRIMINATIVE CLASSIFICATION OF MAGNETIC RESONANCE IMAGES

Discriminative learning; magnetic resonance images; generative embedding; information theory; kernels