Adversarial Multi-view Networks for Activity Recognition

Bai, L Yao, L Wang, X

Kanhere, SS Guo, B Yu, Z

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Publisher:: Association for Computing Machinery (ACM)
Publication Type:: Journal Article
Citation:: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2020, 4, (2), pp. 1-22
Issue Date:: 2020-06-15

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Field	Value	Language
dc.contributor.author	Bai, L
dc.contributor.author	Yao, L
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Kanhere, SS
dc.contributor.author	Guo, B
dc.contributor.author	Yu, Z
dc.date.accessioned	2020-06-20T23:35:21Z
dc.date.available	2020-06-20T23:35:21Z
dc.date.issued	2020-06-15
dc.identifier.citation	Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2020, 4, (2), pp. 1-22
dc.identifier.issn	2474-9567
dc.identifier.issn	2474-9567
dc.identifier.uri	http://hdl.handle.net/10453/141591
dc.language	en
dc.publisher	Association for Computing Machinery (ACM)
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
dc.relation.isbasedon	10.1145/3397323
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Adversarial Multi-view Networks for Activity Recognition
dc.type	Journal Article
utslib.citation.volume	4
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2020-06-20T23:35:15Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	4
utslib.citation.issue	2

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