Search Results

The skeleton data of limbs are unreliable due to occlusion and camera viewpoints on intercity railway platforms. It hinders the acquisition of skeleton sequences and disturbs the skeleton-based abnormal action recognition. To overcome these issues,...

Garbage collection (GC) pauses are a notorious issue threatening the latency of applications. To mitigate this problem, state-of-the-art concurrent copying collectors allow GC threads to run simultaneously with application threads (mutators) in nearly ...

Peripancreatic vessel segmentation and anatomical labeling are pivotal aspects in aiding surgical planning and prognosis for patients with pancreatic tumors. Nevertheless, prevailing techniques often fall short in achieving satisfactory ...

• A novel framework is introduced for peripancreatic vessel segmentation and labeling.
• An iterative trunk growth module is designed for vessel segmentation improvement.
• A weakly supervised labeling mechanism is proposed for vessel ...

Train surface anomaly detection is an essential task in vision-based railway safety inspection. Although existing deep learning methods show great potential, their anomaly detection accuracy is affected by the lack of abnormal images. The number ...

• The lack of train surface anomaly images leads to low detection accuracy.
• Most image generation methods still need lots of abnormal images for training.
• A method with mask pool, abnormal aware loss and four discriminators is ...

Multi-modal learning has made impressive progress in autonomous driving by leveraging information from multiple sensors. Existing feature fusion methods make decisions by integrating perceptions from different sensors. However, ...

• We propose a novel multi-modal policy fusion method for end-to-end autonomous driving.

Gaussian process dynamical systems (GPDSs) have shown their effectiveness in many tasks of machine learning. However, when they address multi-view data, current GPDSs do not explicitly model the dependence between private and shared latent variables. ...

Automatic detection of defects in mature litchi plays a vital role in the classification of fruit grades. The existing method mainly relies on manual, it is difficult to meet the needs of different varieties of litchi various types of commodity packaging,...

The intrusion of foreign objects in tracks, one of the sources of injuries and fatalities in metro stations, can be solved as an anomaly detection task. However, the existing anomaly detection methods rarely consider the importance of updating the new ...

Multi-view learning exploits structural constraints among multiple views to effectively learn from data. Although it has made great methodological achievements in recent years, the current generalization theory is still insufficient to ...

• We propose a novel view-consistency regularization to deduce PAC-Bayes bounds.
• ...

• We apply multi-view learning to violent behavior recognition of still images.
• A ...

Harmful information full of violence, whose transmission is difficult to control, is one of the negative effects that the Internet brings to us today. Such corrosive information in the network environment infiltrates the mental health ...

Cloud platform provides great flexibility and cost-efficiency for end-users and cloud operators. However, low resource utilization in modern datacenters brings huge wastes of hardware resources and infrastructure investment. To improve resource ...

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book ...

Multi-view learning receives increasing interest in recent years to analyze complex data. Lately, multiview maximum entropy discrimination (MVMED) and alternative MVMED (AMVMED) were proposed as extensions of maximum entropy discrimination (MED) to the ...

Background: Social distancing strategies, such as workplace closure and travel restriction, have been widely considered as alternative measures to contain influenza viruses, particularly when vaccines and antiviral drugs are under development. However, ...

This paper discusses the mathematical model depicting how Bursaphelenchus xylophilus infected pine trees. Firstly, according to the spread mechanism of communicable disease, we established a differential equation model with two species, i.e. pine trees ...

Influenza disease diffuses from one individual to another through their close contacts, while preventive behavior propagates through inter-personal influences. These two diffusion processes take place simultaneously and interact with one another in ...