Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Automatic Gender Recognition (AGR) is a subfield of facial recognition that aims to
algorithmically identify the gender of individuals from photographs or videos. In wider society …

In recent years, autoencoder has been widely used for the fault diagnosis of mechanical
equipment because of its excellent performance in feature extraction and dimension …

Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

Content-based image retrieval (CBIR) techniques have currently gained increasing
popularity in the medical field because they can use numerous and valuable archived …

This paper addresses the problem of face recognition when there is only few, or even only a
single, labeled examples of the face that we wish to recognize. Moreover, these examples …

This paper presents an automatic content-based image retrieval (CBIR) system for brain
tumors on T1-weighted contrast-enhanced magnetic resonance images (CE-MRI). The key …

Despite the fact that different objects possess distinct class-specific features, they also
usually share common patterns. This observation has been exploited partially in a recently …

In this paper, we propose an analysis mechanism-based structured analysis discriminative
dictionary learning (ADDL) framework. The ADDL seamlessly integrates analysis …

Collaborative representation methods, such as sparse subspace clustering (SSC) and
sparse representation-based classification (SRC), have achieved great success in face …