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College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Conference Papers(학술회의논문)

Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation

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dc.contributor.authorKee, Youngwookko
dc.contributor.authorMohamed Souiaiko
dc.contributor.authorDaniel Cremersko
dc.contributor.authorKim, Junmoko
dc.date.accessioned2014-08-28T07:07:50Z-
dc.date.available2014-08-28T07:07:50Z-
dc.date.created2014-07-09-
dc.date.created2014-07-09-
dc.date.created2014-07-09-
dc.date.issued2014-06-24-
dc.identifier.citationCVPR 2014 IEEE Conference on Computer Vision and Pattern Recognition-
dc.identifier.urihttp://hdl.handle.net/10203/188225-
dc.languageEnglish-
dc.publisherIEEE Computer Society and the Computer Vision Foundation (CVF)-
dc.titleSequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation-
dc.typeConference-
dc.identifier.wosid000361555604018-
dc.identifier.scopusid2-s2.0-84911379819-
dc.type.rimsCONF-
dc.citation.publicationnameCVPR 2014 IEEE Conference on Computer Vision and Pattern Recognition-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationColumbus Convention Center, OH-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Junmo-
dc.contributor.nonIdAuthorKee, Youngwook-
dc.contributor.nonIdAuthorMohamed Souiai-
dc.contributor.nonIdAuthorDaniel Cremers-
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