Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

Big databases are increasingly widespread and are therefore hard to understand, in
exploratory biomedicine science, big data in health research is highly exciting because data …

The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

Building change detection (BCD) recently can be handled well under the booming of deep-
learning based computer vision techniques. However, segmentation and recognition for …

Phishing is the fraudulent attempt to obtain sensitive information by disguising oneself as a
trustworthy entity in digital communication. It is a type of cyber attack often successful …

Unlike the visual object tracking, thermal infrared object tracking can track a target object in
total darkness. Therefore, it has broad applications, such as in rescue and video …

Person re-identification has been widely studied due to its importance in surveillance and
forensics applications. In practice, gallery images are high-resolution (HR) while probe …

Low-rank representation (LRR) has aroused much attention in the community of data
mining. However, it has the following twoproblems which greatly limit its applications:(1) it …

Most thermal infrared (TIR) tracking methods are discriminative, treating the tracking
problem as a classification task. However, the objective of the classifier (label prediction) is …

Achieving data center resource optimization and QoS guarantee driven by high energy
efficiency has become a research hotspot. However, QoS information directly sampled from …