In this paper, a new classifier, called multiple linear regression coefficients (MLRC), is
proposed for image recognition. Linear regression classification (LRC) uses the linear …

This paper proposes a new method named Sparse Regression Analysis (SRA) for object
representation and recognition. In SRA, ℓ 1-norm minimization is combined with regression …

As an efficacy classification technique, linear regression based classification (LRC) has
been popularly used for image recognition. However, since LRC neglects the local structure …

Sparse representation based classification has attracted much attention due to its
robustness in the fields of biometrics, such as face recognition, palm-print recognition. SRC …

As a recently proposed technique, sparse representation (SR) has been widely used for
pattern recognition. Sparse representation emphasizes the coefficient sparsity and ignores …

Non-negative sparse coding (NNSC) model can extract efficiently image features and has
been used widely in image processing. However, in terms of the image feature classification …

Abstract Recently, the Support Vector Machine (SVM) using Spatial Pyramid Matching
(SPM) kernel has achieved remarkable successful in image classification. The classification …

In this paper, a novel classifier based on linear regression classification (LRC), called global
linear regression coefficient (GLRC) classifier, is proposed for recognition. LRC classifier …

Sparse representation has attracted great attention in the past few years. Sparse
representation based classification (SRC) algorithm was developed and successfully used …

A novel palmprint recognition method using the fast sparse coding (FSC) algorithm is
proposed in this paper. This algorithm is based on iteratively solving two convex …