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Fully Bayesian image separation using Markov chain Monte Carlo

dc.contributor.authorKayabol, Koray
dc.contributor.authorSankur, Buelent
dc.contributor.authorKuruoglu, Ercan E.
dc.date.accessioned2021-03-05T19:49:59Z
dc.date.available2021-03-05T19:49:59Z
dc.identifier.citationKayabol K., Kuruoglu E. E. , Sankur B., "Fully Bayesian image separation using Markov chain Monte Carlo", IEEE 15th Signal Processing and Communications Applications Conference, Eskişehir, Türkiye, 11 - 13 Haziran 2007, ss.969-970
dc.identifier.othervv_1032021
dc.identifier.otherav_d118f171-0db5-46c2-80b7-23aa1494d008
dc.identifier.urihttp://hdl.handle.net/20.500.12627/138220
dc.identifier.urihttps://doi.org/10.1109/siu.2007.4298718
dc.description.abstractIn this study, we investigate the image separation problem under noisy environments. In the definition of the problem, the Bayesian approach is considered. We present a fully stochastic method based on Markov chain Monte Carlo (MCMC), instead of other deterministic methods, used in Bayesian image separation.
dc.language.isoeng
dc.subjectTELEKOMÜNİKASYON
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectSinyal İşleme
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectBiyoenformatik
dc.subjectMühendislik ve Teknoloji
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectMühendislik
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.titleFully Bayesian image separation using Markov chain Monte Carlo
dc.typeBildiri
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.contributor.firstauthorID133529


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