In recent years, sparse representation-based classification (SRC) has received significant
attention due to its high recognition rate. However, the original SRC method requires a rigid …

Multi-atlas labeling in a non-local patch manner has emerged as an important approach to
alleviate both the possible misalignment and mis-match among patches for guiding accurate …

Recent studies have indicated the efficacy of selecting and combining the salient features
from a pool of feature types in image retrieval and classification applications. In contrast to …

We introduce a novel classifier, called max residual classifier (MRC), for learning a sparse
representation jointly with a discriminative decision function. MRC seeks to maximize the …

In order to alleviate the influence of illumination, pose, expression and occlusion variations
in face recognition, in this paper, an effective face recognition method based on …

This paper focuses on the problem of finding a few representatives for a given dataset,
which have both representation and discrimination ability. To solve this problem, we …

Image segmentation seeks to partition the pixels in images into distinct regions to assist
other image processing functions such as object recognition. Over the last few years …

Abstract Characterization of multiple time-varying transient sources using sequential
multivariate data is a broad and complex signal processing problem. In general, this process …