Self-adaptive SVDD integrated with AP clustering for one-class classification

dc.contributor.author	Wu, Tong
dc.contributor.author	Liang, Yanchun
dc.contributor.author	Varela Arias, José Ramiro
dc.contributor.author	Wu, Chunguo
dc.contributor.author	Zhao, Guozhong
dc.contributor.author	Han, Xiaosong
dc.date.accessioned	2017-05-02T07:38:17Z
dc.date.available	2017-05-02T07:38:17Z
dc.date.issued	2016
dc.identifier.citation	Pattern Recognition Letters, 84, p. 232-238 (2016); doi:10.1016/j.patrec.2016.10.009
dc.identifier.issn	0167-8655
dc.identifier.issn	1872-7344
dc.identifier.uri	http://hdl.handle.net/10651/42532
dc.description.sponsorship	National Science Foundation of China [61503150, 61472158, 61572228]
dc.format.extent	p. 232-238
dc.language.iso	eng
dc.relation.ispartof	Pattern Recognition Letters
dc.rights	©,
dc.source	WOS:000390660900033
dc.title	Self-adaptive SVDD integrated with AP clustering for one-class classification
dc.type	journal article
dc.identifier.doi	10.1016/j.patrec.2016.10.009
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.patrec.2016.10.009

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