The use of sparse representation (SR) and collaborative representation (CR) for pattern
classification has been widely studied in tasks such as face recognition and object …

Subspace learning and reconstruction have been widely explored in recent transfer learning
work. Generally, a specially designed projection and reconstruction transfer functions …

In recent years, there has been a growing interest in the study of dictionary learning for face
recognition. Most of the conventional dictionary learning methods focus only on a single …

Deep dictionary learning seeks multiple dictionaries at different image scales to capture
complementary coherent characteristics. We propose a method for learning a hierarchy of …

Abstract Background and Objectives Melanoma is a dangerous kind of skin disease with a
high death rate, and its prevalence has increased rapidly in recent years. Diagnosis of …

Brain region-of-interesting (ROI) segmentation is an important prerequisite step for many
computer-aid brain disease analyses. However, the human brain has the complicated …

Discriminative dictionary learning (DDL) has demonstrated significantly improved
performance for image classification. However, most of the existing DDL methods just adopt …

Although there is an abundance of current research on facial recognition, it still faces
significant challenges that are related to variations in factors such as aging, poses …

A discriminative structured analysis dictionary is proposed for the classification task. A
structure of the union of subspaces (UoS) is integrated into the conventional analysis …

Abstract Mild Cognitive Impairment (MCI) is an intermediate stage of memory decline
between normal aging and Alzheimer's disease or other types of dementia. MCI diagnosis is …