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dc.contributor.authorRajasegarar, S
dc.contributor.authorLeckie, C
dc.contributor.authorBezdek, JC
dc.contributor.authorPalaniswami, M
dc.date.available2014-05-21T22:48:32Z
dc.date.issued2010-09-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000283065700015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationRajasegarar, S., Leckie, C., Bezdek, J. C. & Palaniswami, M. (2010). Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Networks. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 5 (3), pp.518-533. https://doi.org/10.1109/TIFS.2010.2051543.
dc.identifier.issn1556-6013
dc.identifier.urihttp://hdl.handle.net/11343/29268
dc.languageEnglish
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.subjectArtificial Intelligence and Image Processing
dc.titleCentered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Networks
dc.typeJournal Article
dc.identifier.doi10.1109/TIFS.2010.2051543
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentElectrical and Electronic Engineering
melbourne.source.titleIEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
melbourne.source.volume5
melbourne.source.issue3
melbourne.source.pages518-533
dc.description.pagestart518
melbourne.publicationid149771
melbourne.elementsid325888
melbourne.contributor.authorRajasegarar, Sutharshan
melbourne.contributor.authorLeckie, Christopher
melbourne.contributor.authorBezdek, James
melbourne.contributor.authorPalaniswami, Marimuthu
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-20)
dc.identifier.eissn1556-6021
melbourne.accessrightsThis item is currently not available from this repository


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