This paper reviews the state-of-the-art representation-based classification and detection
approaches for hyperspectral remote sensing imagery, including sparse representation …

Face recognition is one of the fundamental problems of computer vision and pattern
recognition. Based on the recent success of Low-Rank Representation (LRR), we propose a …

Face recognition in harsh environments is an active research topic. As one of the most
important challenges, face recognition across pose has received extensive attention. LBP …

In the world of ubiquitous computing, fuzzy logic has been emerged as an important
research area in the field of face recognition (FR) applications. In this paper, a new efficient …

Traditional face recognition method usually faces the challenge of varying lighting condition.
In this paper, we propose an illumination-invariant local binary descriptor learning method …

Representation-based classifiers (RCs) have attracted considerable attention in face
recognition in recent years. However, most existing RCs use the mean square error (MSE) …

Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI)
images is an essential step for calculation of clinical indices such as stroke volume, ejection …

As a nonlinear extension of traditional sparse representation-based classifier (SRC), kernel
SRC (KSRC) has shown its excellent performance for hyperspectral image (HSI) …

In recent years, there has been a great interest in prostate segmentation, which is an
important and challenging task for CT image guided radiotherapy. In this paper, a learning …

Automatic vehicle classification is a fundamental task in intelligent transportation systems.
Image‐based vehicle classification is challenging due to occlusion, low‐illumination, and …