An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition

Reference : An extension of kernel learning methods using a modified Log-Euclidean distance for f...


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/39040

Title :	An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition
Language :	English
Author, co-author :	Ghorbel, Enjie [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Boonaert, Jacques [> >]
	Boutteau, Rémi [> >]
	Lecoeuche, Stéphane [> >]
	Savatier, Xavier [> >]
Publication date :	2018
Journal title :	Computer Vision and Image Understanding
Publisher :	Elsevier
Volume :	175
Pages :	32--43
Peer reviewed :	Yes
Permalink :	http://hdl.handle.net/10993/39040

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Open access	YCVIU_latex_template8.pdf		Author preprint	524.74 kB	View/Open

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