Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis

no code implementations • NeurIPS 2015 • Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen

The proposed method operates under a semi-supervised setting, in which both labeled training and unlabeled testing data are incorporated to form the intrinsic geometry of the sample space.

General Classification