Computer technology has rapidly advanced the use of computer-assisted refereeing in sports. However, motion image segmentation presents several challenges, including image blurring due to high-speed ...

In the realm of data science, clustering algorithms play a pivotal role in uncovering hidden patterns, segmenting data, and gaining insights into complex datasets. These algorithms are instrumental in ...

Abstract: Because of its huge commercial value and broad application prospects, sports video analysis has attracted extensive attention from researchers at home and abroad, and has become a hot ...

College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China State Key Laboratory of Strata Intelligent Control and Green Mining Co-founded by ...

Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are ...

Clustering is a powerful machine learning tool for detecting structures in datasets. In the medical field, clustering has been proven to be a powerful tool for discovering patterns and structure in ...

Clustering is a fundamental experimental procedure in data analysis. It is used in virtually all natural and social sciences and has played a central role in biology, astronomy, psychology, medicine, ...