With the development of society, technological progress, and new needs, autonomous
driving has become a trendy topic in smart cities. Due to technological limitations …

In recent years, various neural network architectures for computer vision have been devised,
such as the visual transformer and multilayer perceptron (MLP). A transformer based on an …

Heterogeneous graphs, which are also called heterogeneous information networks, analyze
the different types of nodes in an information network and the different types of links between …

Crowd counting is a fundamental and challenging task that requires rich information to
generate a pixel-level crowd density map. Additionally, the development of thermal sensing …

Rail surface defect detection for traffic safety has received considerable attention. With the
development of deep learning, numerous methods for combining RGB and depth …

Multi-view clustering (MVC) aims to fuse the information among multiple views to achieve
effective clustering. Many MVC algorithms based on semi-nonnegative matrix factorization …

Current research on multi-view clustering (MVC) is pushing the boundaries of knowledge,
allowing the extraction of valuable insights from various points of view. Recently, many …

Although graph-inspired clustering methods have achieved impressive success in the area
of multi-view data analysis, current methods still face several challenges. First, classical …

Depth information can contribute to the semantic segmentation of scenes from red–green–
blue (RGB) images. Therefore, the amount of information that can be obtained from RGB …

Incomplete multi-view clustering is pivotal in machine learning because complex systems
are inherently difficult to be fully observed and therefore pose a great challenge to revealing …