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Background robust object labeling by voting of weight-aggregated local features

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dc.contributor.authorKim, S.ko
dc.contributor.authorYoon, Kuk-Jinko
dc.contributor.authorKweon, In-Soko
dc.date.accessioned2011-03-22T09:28:06Z-
dc.date.available2011-03-22T09:28:06Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2006-08-20-
dc.identifier.citation18th International Conference on Pattern Recognition, ICPR 2006, pp.219 - 222-
dc.identifier.urihttp://hdl.handle.net/10203/22900-
dc.description.sponsorshipThis research has been partially supported by the Korean Ministry of Science and Technology for National Research Laboratory Program (Grant numberM1-0302-00-0064) and by Microsoft Research Asia.en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherIEEE-
dc.titleBackground robust object labeling by voting of weight-aggregated local features-
dc.typeConference-
dc.identifier.wosid000240678300053-
dc.type.rimsCONF-
dc.citation.beginningpage219-
dc.citation.endingpage222-
dc.citation.publicationname18th International Conference on Pattern Recognition, ICPR 2006-
dc.identifier.conferencecountryHK-
dc.identifier.conferencelocationHong Kong-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorYoon, Kuk-Jin-
dc.contributor.localauthorKweon, In-So-
dc.contributor.nonIdAuthorKim, S.-
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