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Article: Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations

TitleRelatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations
Authors
KeywordsAbsolutely-paired observations
Cutting plane algorithm
Multi-modality analysis
Multi-view analysis
Relatively-paired observations
Structural learning
Issue Date2015
Citation
International Journal of Computer Vision, 2015, v. 113, p. 176-192 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/217761
ISSN
2020 Impact Factor: 7.41
2015 SCImago Journal Rankings: 5.633
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKUANG, Z-
dc.contributor.authorWong, KKY-
dc.date.accessioned2015-09-18T06:12:27Z-
dc.date.available2015-09-18T06:12:27Z-
dc.date.issued2015-
dc.identifier.citationInternational Journal of Computer Vision, 2015, v. 113, p. 176-192-
dc.identifier.issn0920-5691-
dc.identifier.urihttp://hdl.handle.net/10722/217761-
dc.languageeng-
dc.relation.ispartofInternational Journal of Computer Vision-
dc.subjectAbsolutely-paired observations-
dc.subjectCutting plane algorithm-
dc.subjectMulti-modality analysis-
dc.subjectMulti-view analysis-
dc.subjectRelatively-paired observations-
dc.subjectStructural learning-
dc.titleRelatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations-
dc.typeArticle-
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.identifier.authorityWong, KKY=rp01393-
dc.identifier.doi10.1007/s11263-014-0783-8-
dc.identifier.scopuseid_2-s2.0-84930867350-
dc.identifier.hkuros252041-
dc.identifier.volume113-
dc.identifier.spage176-
dc.identifier.epage192-
dc.identifier.eissn1573-1405-
dc.identifier.isiWOS:000356091900003-
dc.identifier.issnl0920-5691-

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