A novel study on developing a model-driven visual dictionary [Model-güdümlü görsel sözlük gelistirme üzerine yenilikçi bir çalisma]

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dc.contributor.authorAslan S.
dc.contributor.authorAkgul C.B.
dc.contributor.authorSankur B.
dc.contributor.authorTunali E.T.
dc.date.accessioned2019-10-26T21:18:28Z
dc.date.available2019-10-26T21:18:28Z
dc.date.issued2016
dc.departmentEge Üniversitesien_US
dc.description24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- 122605en_US
dc.description.abstractWe designed SymPaD framework, a model-driven visual dictionary construction and description method, with new shape models and quantized shape library. We demonstrate that, with this new design, the most current model-driven dictionary construction method is outperformed with even smaller dictionary in object recognition and image retrieval tasks. © 2016 IEEE.en_US
dc.identifier.doi10.1109/SIU.2016.7496181
dc.identifier.endpage2084en_US
dc.identifier.isbn9781509016792
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2081en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2016.7496181
dc.identifier.urihttps://hdl.handle.net/11454/16519
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectdescriptoren_US
dc.subjectimage understandingen_US
dc.subjectmodel-driven visual dictionaryen_US
dc.titleA novel study on developing a model-driven visual dictionary [Model-güdümlü görsel sözlük gelistirme üzerine yenilikçi bir çalisma]en_US
dc.typeConference Objecten_US

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