Considering the labeled samples may be difficult to obtain because they require human
annotators, special devices, or expensive and slow experiments. Semi-supervised learning …

In this paper, we propose an analysis mechanism-based structured analysis discriminative
dictionary learning (ADDL) framework. The ADDL seamlessly integrates analysis …

In this article, we present a general optimization framework that leverages structured sparsity
to achieve superior recovery results. The traditional method for solving the structured sparse …

Micro-videos have rapidly become one of the most dominant trends in the era of social
media. Accordingly, how to organize them draws our attention. Distinct from the traditional …

Supervised dictionary learning and deep learning have achieved promising performance in
the classification task. However, in many real-world applications there usually exist very …

Micro-videos, a new form of user-generated contents, have been spreading widely across
various social platforms, such as Vine, Kuaishou, and TikTok. Different from traditional long …

A discriminative structured analysis dictionary is proposed for the classification task. A
structure of the union of subspaces (UoS) is integrated into the conventional analysis …

In the era of big data, the pervasive use of artificial intelligence (AI) technology has
revolutionized various industries. AI-powered systems, particularly those utilizing data …

To reduce the dependence of remote sensing (RS) image semantic segmentation models
on extensive pixel-level annotated images, this article aims to address the issue of …

In this paper, we propose a novel semi-supervised learning framework for violence detection
in video surveillance. With this framework, a classifier which distinguishes violent behavior …