The success of sparse representation based classification (SRC) has largely boosted the
research of sparsity based face recognition in recent years. A prevailing view is that the …

As a recently proposed technique, sparse representation based classification (SRC) has
been widely used for face recognition (FR). SRC first codes a testing sample as a sparse …

Sparse representation based classification (SRC) methods have recently drawn much
attention in face recognition, due to their good performance and robustness against …

Sparse representation (or coding)-based classification (SRC) has gained great success in
face recognition in recent years. However, SRC emphasizes the sparsity too much and …

Face recognition (FR) is an active yet challenging topic in computer vision applications. As a
powerful tool to represent high dimensional data, recently sparse representation based …

Face recognition (FR) with a single training sample per person (STSPP) is a very
challenging problem due to the lack of information to predict the variations in the query …

Sparse representation for classification (SRC) has attracted much attention in recent years.
In this paper, we improve the typical SRC and propose a new SRC algorithm, ie, weighted …

This paper presents a novel sparse representation for robust face recognition. We advance
both group sparsity and data locality and formulate a unified optimization framework, which …

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 …

In this paper, we address the computational complexity issue in Sparse Representation
based Classification (SRC). In SRC, it is time consuming to find a global sparse …