Even though face recognition is one of the most studied pattern recognition problems, most
existing solutions still lack efficiency and high speed. Here, the authors present a new …

Recently, Sparse Representation-based Classification (SRC) has attracted a lot of attention
for its applications to various tasks, especially in biometric techniques such as face …

Grouped sparse representation classification methods (GSRCMs) have been attracted much
attention by scholars, especially in face recognition. However, pervious literatures of …

Sparse representation based face recognition (SRC) has been paid much attention in recent
years. Representative algorithms are deformable sparse-representation based classification …

In this paper, we propose a novel method for fast face recognition called L 1/2-regularized
sparse representation using hierarchical feature selection. By employing hierarchical feature …

Sparse representation has exhibited excellent performance in face recognition. However,
this method requires some areas for improvement, especially on insufficient face samples …

Sparse representation methods have exhibited promising performance for pattern
recognition. However, these methods largely rely on the data sparsity available in advance …

In this paper, based on low-rank representation and eigenface extraction, we present an
improvement to the well known Sparse Representation based Classification (SRC). Firstly …

In this paper, a new joint sparse representation method called discriminative locality-
constrained sparse representation (DLSR) is proposed for robust face recognition. DLSR …

The sparse representation-based classification (SRC) has been proven to be a robust face
recognition method. However, its computational complexity is very high due to solving a …