Self-paced semi-supervised feature selection with application to multi-modal Alzheimer's disease classification

Chao Zhang, Wentao Fan, Bo Wang, Chunlin Chen, Huaxiong Li

Abstract: Highlights•A semi-supervised multi-modal feature selection method is proposed for AD diagnosis.•The reliability of pseudo-labels is evaluated to guide semi-supervised learning.•An intrinsic similarity graph is learned under the guidance of priori knowledge.•Experiments show the advantages of the proposed method.