Different Decision Fusion Methods for Modular Common Vector Approach [2]

Basit Öğe Kaydı
dc.contributor.authorKoc, Mehmet
dc.date.accessioned2025-05-20T18:47:28Z
dc.date.issued2019
dc.departmentBilecik Şeyh Edebali Üniversitesi
dc.description14th IEEE International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2019 -- 17 September 2019 through 20 September 2019 -- Lviv -- 156023
dc.description.abstractThe partial occlusions in the face image negatively affect the performance of the face recognition system. Modular versions of some methods are used to overcome this problem. Modular Common Vector Approach(MCVA) was successfully applied partial occlusion problem. In this work, we apply some well-known decision fusion methods (product rule, borda count, and majority voting) to the decision stage of MCVA approach to increase the performance. Several face recognition experiments conducted on AR face database provide promising results. © 2019 IEEE
dc.identifier.doi10.1109/STC-CSIT.2018.8929881
dc.identifier.endpage70
dc.identifier.issn2766-3655
dc.identifier.scopus2-s2.0-85129923585
dc.identifier.scopusqualityN/A
dc.identifier.startpage67
dc.identifier.urihttps://doi.org/10.1109/STC-CSIT.2018.8929881
dc.identifier.urihttps://hdl.handle.net/11552/6419
dc.identifier.volume1
dc.indekslendigikaynakScopus
dc.institutionauthorKoc, Mehmet
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofInternational Scientific and Technical Conference on Computer Sciences and Information Technologies
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250518
dc.subjectcommon vector
dc.subjectdecision fusion
dc.subjectface recognition
dc.subjectmodular
dc.subjectpartial occlusion
dc.titleDifferent Decision Fusion Methods for Modular Common Vector Approach [2]
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar