The limited capacity to recognise faces under occlusions is a long‐standing problem that
presents a unique challenge for face recognition systems and even humans. The problem …

Recently, sparse coding has been successfully applied in visual tracking. The goal of this
paper is to review the state-of-the-art tracking methods based on sparse coding. We first …

The employed dictionary plays an important role in sparse representation or sparse coding
based image reconstruction and classification, while learning dictionaries from the training …

Sparse representation based classification has led to interesting image recognition results,
while the dictionary used for sparse coding plays a key role in it. This paper presents a novel …

This paper proposes a hybrid convolutional network (ConvNet)-Restricted Boltzmann
Machine (RBM) model for face verification in wild conditions. A key contribution of this work …

Recently the sparse representation (or coding) based classification (SRC) has been
successfully used in face recognition. In SRC, the testing image is represented as a sparse …