Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/104406
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dc.contributor.authorXiao, G.en
dc.contributor.authorWang, H.en
dc.contributor.authorLai, T.en
dc.contributor.authorSuter, D.en
dc.date.issued2016en
dc.identifier.citationPattern Recognition, 2016; 60:748-760en
dc.identifier.issn0031-3203en
dc.identifier.issn1873-5142en
dc.identifier.urihttp://hdl.handle.net/2440/104406-
dc.description.abstractAbstract not availableen
dc.description.statementofresponsibilityGuobao Xiao, Hanzi Wang, Taotao Lai, David Suteren
dc.language.isoenen
dc.publisherElsevieren
dc.rights© 2016 Elsevier Ltd. All rights reserved.en
dc.subjectHypergraph modelling; geometric model fitting; hypergraph partitionen
dc.titleHypergraph modelling for geometric model fittingen
dc.typeJournal articleen
dc.identifier.rmid0030056675en
dc.identifier.doi10.1016/j.patcog.2016.06.026en
dc.relation.granthttp://purl.org/au-research/grants/arc/DP130102524en
dc.identifier.pubid274385-
pubs.library.collectionComputer Science publicationsen
pubs.library.teamDS14en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidSuter, D. [0000-0001-6306-3023]en
Appears in Collections:Computer Science publications

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