BriefGPT.xyz
Jan, 2014
基于稀疏 Fisher-EM 方法的游泳员协调关键点选择和聚类
Key point selection and clustering of swimmer coordination through Sparse Fisher-EM
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John Komar, Romain Hérault, Ludovic Seifert
TL;DR
通过两级聚类分析蝶泳游泳中的运动学习的时间动态，采用无监督的 Sparse Fisher-EM 框架，可以高效地处理大规模相关数据集，感应稀疏性选择了关键点的协调阶段。
Abstract
To answer the existence of optimal swimmer learning/teaching strategies, this work introduces a two-level
clustering
in order to analyze
temporal dynamics
of
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