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 ...
Systematic methods for identifying, evaluating, and synthesizing research evidence across multiple studies. Systematic methods for identifying, evaluating, and integrating research evidence across ...
Abstract: Video content data have a variety of objects that could be associated with each other. Although content data contains similar objects or themes, their associations can become ambiguous.
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 ...
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 ...
An illustration of a magnifying glass. An illustration of a magnifying glass.
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 ...
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