Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …

In recent years, the task of automatically generating image description has attracted a lot of
attention in the field of artificial intelligence. Benefitting from the development of …

View-based 3-D model retrieval is one of the most important techniques in numerous
applications of computer vision. While many methods have been proposed in recent years …

Automatically generating the descriptions of an image, ie, image captioning, is an important
and fundamental topic in artificial intelligence, which bridges the gap between computer …

In multiple sclerosis (MS), gait impairment is one of the most prominent symptoms. For a
sensitive assessment of pathological gait patterns, a comprehensive analysis and …

In this paper, we propose a novel general non-negative matrix factorization (general-NMF)-
based digital watermarking scheme for copyright protection and integrity authentication of …

Two factors characterize a good feature selection algorithm: its accuracy and stability. This
paper aims at introducing a new approach to stable feature selection algorithms. The …

Many content-based video copy detection (CCD) systems have been proposed to identify
the copies of a copyrighted video. Due to storage cost and retrieval response requirements …

Drowsy driving is one of the major causes of fatal traffic accidents. In this article, we propose
a real-time system that utilizes RGB-D cameras to automatically detect driver fatigue and …

The classification of high-dimensional data is a challenge in machine learning. Traditional
classifier ensemble methods improve the diversity of classifiers through either …