The aim of this paper is to give an overview of domain adaptation and transfer learning with
a specific view on visual applications. After a general motivation, we first position domain …

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 …

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 …

State-of-the-art algorithms for blind image quality assessment (BIQA) typically have two
categories. The first category approaches extract natural scene statistics (NSS) as features …

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 a simultaneous feature and dictionary learning (SFDL) method for
image set-based face recognition, where each training and testing example contains a set of …

Recently the auto-encoder and its variants have demonstrated their promising results in
extracting effective features. Specifically, its basic idea of encouraging the output to be as …

Objective: Hydrocephalus is a medical condition in which there is an abnormal accumulation
of cerebrospinal fluid (CSF) in the brain. Segmentation of brain imagery into brain tissue and …

Predictive coding has been proposed as a model of the hierarchical perceptual inference
process performed in the cortex. However, results demonstrating that predictive coding is …

Conventional dictionary learning algorithms suffer from the following problems when applied
to face recognition. First, since in most face recognition applications there are only a limited …