Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7004
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dc.contributor.authorDemirci, Muhammed Fatih-
dc.date.accessioned2021-09-11T15:44:49Z-
dc.date.available2021-09-11T15:44:49Z-
dc.date.issued2008en_US
dc.identifier.citationIEEE 16th Signal Processing and Communications Applications Conference -- APR 20-22, 2008 -- Aydin, TURKEYen_US
dc.identifier.isbn978-1-4244-1998-2-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7004-
dc.description.abstractThe problem of object recognition can be formulated as matching feature sets of different objects. Segmentation errors and scale difference result in many-to-many matching of feature sets, rather than one-to-one. This paper extends a previous algorithm on many-to-many graph matching. The proposed work represents graphs, which correspond to objects, isomorphically in the geometric space under the l(1) norm. Empirical evaluation of the algorithm on an extensive set of recognition trails, including a comparison with the previous approach, demonstrates the efficacy of the overall framework.en_US
dc.description.sponsorshipIEEEen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2008 IEEE 16Th Signal Processing, Communication And Applications Conference, Vols 1 And 2en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleMany-To Matching in L(1) Normen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage144en_US
dc.identifier.endpage147en_US
dc.identifier.wosWOS:000261359200037en_US
dc.identifier.scopus2-s2.0-56449127510en_US
dc.institutionauthorDemirci, Muhammed Fatih-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE 16th Signal Processing and Communications Applications Conferenceen_US
item.openairetypeConference Object-
item.languageiso639-1tr-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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