Conventional representation based classifiers, ranging from the classical nearest neighbor
classifier and nearest subspace classifier to the recently developed sparse representation …

Face recognition techniques have been developed significantly in recent years. However,
recognizing faces with partial occlusion is still challenging for existing face recognizers …

With the rapid advances in digital imaging and communication technologies, recently image
set classification has attracted significant attention and has been widely used in many real …

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

Joint sparse representation (JSR) has shown great potential in various image processing
and computer vision tasks. Nevertheless, the conventional JSR is fragile to outliers. In this …

Regression analysis based methods have shown strong robustness and achieved great
success in face recognition. In these methods, convex-norm and nuclear norm are usually …

Electroencephalography signals have very low spatial resolution and electrodes capture
signals that are overlapping each other. To extract the discriminative features and alleviate …

Color texture retrieval is a hot research area in image analysis. In this paper, we propose an
efficient color texture retrieval method by using copula model based on Gabor wavelets …

With the increasing use of surveillance cameras, face recognition is being studied by many
researchers for security purposes. Although high accuracy has been achieved for frontal …

Internet platforms provide new ways for people to share experiences, generating massive
amounts of data related to various real-world concepts. In this paper, we present an event …