Recently, a multi-view dictionary learning (DL) technique has received much attention.
Although some multi-view DL methods have been presented, they suffer from the problem of …

In recent years, there has been a growing interest in the study of dictionary learning for face
recognition. Most of the conventional dictionary learning methods focus only on a single …

Discriminative dictionary learning (DDL) has demonstrated significantly improved
performance for image classification. However, most of the existing DDL methods just adopt …

Multi-spectral face recognition has been attracting increasing interest. In the last decade,
several multi-spectral face recognition methods have been presented. However, it has not …

Dictionary learning plays a crucial role in sparse representation based image classification.
In this paper, we propose a novel approach to learn a discriminative dictionary with low-rank …

Multi-view learning can be considered as a kind of classification method which explores
common and unique information among different views. For dictionary learning, it can …

The learning model has been popular recently due to its promising results in various image
classification tasks. Many existing learning methods, especially the deep learning methods …

Discriminative dictionary learning (DDL) framework has been widely used in image
classification which aims to learn some class-specific feature vectors as well as a …

Abstract Strict '0-1'block-diagonal structure has been widely used for learning structured
representation in face recognition problems. However, it is questionable and unreasonable …

For sparse representation or sparse coding based image classification, the dictionary, which
is required to faithfully and robustly represent query images, plays an important role on its …