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What Can Hawk-Eye Data Reveal about Serve Performance in Tennis?
Author(s) -
François Rioult,
Sami Mecheri,
Bruno Mantel,
F. Kauffmann,
Nicolas Benguigui
Publication year - 2015
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - ball (mathematics) , kinematics , trajectory , computer science , artificial intelligence , big data , computer vision , eye tracking , tennis ball , set (abstract data type) , engineering , data mining , mathematics , sports equipment , mechanical engineering , geometry , physics , classical mechanics , astronomy , programming language

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