Face recognition is the process of identifying people through facial images. It has become
vital for security and surveillance applications and required everywhere including …

Collaborative representation-based (CR) methods have become prevalent for pattern
classification tasks, achieving formidable performance. Theoretically, we expect the learned …

Recently, few-shot remote sensing scene classification (FSRSSC) has attracted more and
more researchers' attention. The FSRSSC aims to solve the problem of how to distinguish …

Discriminative dictionary learning plays a key role in sparse representation-based
classification. In this paper, we propose a low-rank graph preserving discriminative …

Nowadays, the intelligent fault diagnosis problem of modern industrial systems has received
increasing attention. However, with the increasing scale of industrial systems, the same …

In the field of remote sensing, it is infeasible to collect a large number of labeled samples
due to imaging equipment and imaging environment. Few-shot learning (FSL) is the …

Recently, label consistent k-svd (LC-KSVD) algorithm has been successfully applied in
image classification. The objective function of LC-KSVD is consisted of reconstruction error …

Dictionary learning has been widely applied in the field of pattern classification. Although
many analysis-synthesis dictionary pair learning methods have been proposed in recent …

Three-dimensional (3D) image and medical image processing, which are considered big
data analysis, have attracted significant attention during the last few years. To this end …

Dictionary learning has played an important role in the success of sparse representation.
Although several dictionary learning approaches have been developed for image …