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dc.contributor.authorArik, Sabri
dc.contributor.authorArslan, Emel
dc.date.accessioned2021-03-05T10:17:27Z
dc.date.available2021-03-05T10:17:27Z
dc.identifier.citationArslan E., Arik S., "Removing an Object from Video Sequence Algorithm Implemented on Analog CNN and DSP Microprocessors", 20th International Conference on Artificial Neural Networks, Thessaloniki, Yunanistan, 15 - 18 Eylül 2010, cilt.6352, ss.575-576
dc.identifier.othervv_1032021
dc.identifier.otherav_a2586c78-b51a-44d0-bfdd-70a7792b73ae
dc.identifier.urihttp://hdl.handle.net/20.500.12627/108742
dc.identifier.urihttps://doi.org/10.1007/978-3-642-15819-3_75
dc.description.abstractCNN Universal Machine which contains Digital Signal Processor (DSP) in addition to ACE16k which is the hardware verification of Cellular Neural Networks are used increasingly in image processing applications with their advanced computational features. In this study, an removing an object from video sequence algorithm on a Bi-i Cellular Vision System which is a CNN Universal Machine was applied and the running times of both processors were evaluated.
dc.language.isoeng
dc.subjectAlgoritmalar
dc.subjectBilgi Güvenliği ve Güvenilirliği
dc.subjectBiyoenformatik
dc.subjectMühendislik ve Teknoloji
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.subjectBilgisayar Bilimleri
dc.subjectBİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleRemoving an Object from Video Sequence Algorithm Implemented on Analog CNN and DSP Microprocessors
dc.typeBildiri
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.identifier.volume6352
dc.contributor.firstauthorID57511


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