Regularization by means of denoising in imaging

dc.contributor.authorKravchuk, Oleg
dc.contributor.authorKriukova, Galyna
dc.date.accessioned2023-01-25T04:54:13Z
dc.date.available2023-01-25T04:54:13Z
dc.date.issued2022
dc.description.abstractAbstracts of the report of the participants of the XXXVII International Conference "Problems of decision making under uncertainties" (PDMU-2022), November 23-25, 2022, Sheki-Lankaran, Republic of Azerbaijan.en_US
dc.identifier.citationKravchuk O. Regularization by means of denoising in imaging / O. Kravchuk, G. Kriukova // XХXVII International Conference "Problems of decision making under uncertainties" (PDMU-2022), November 23-25, 2022, Sheki-Lankaran, Republic of Azerbaijan : abstracts / Taras Shevchenko National University of Kyiv [et al.]. - Кyiv, 2022. - P. 67.en_US
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/24574
dc.language.isoenuk_UA
dc.relation.sourceXХXVII International Conference "Problems of decision making under uncertainties" (PDMU-2022), November 23-25, 2022, Sheki-Lankaran, Republic of Azerbaijan : abstractsen_US
dc.statusfirst publisheduk_UA
dc.subjectmachine learningen_US
dc.subjectinverse problemsen_US
dc.subjectinversion of image transformsen_US
dc.subjectBayesian approachen_US
dc.subjectmaximizing the p(y|x)p(x)en_US
dc.subjectminimizing over x the expression (− log p(y|x) − log p(x))en_US
dc.subjectabstracts of the reporten_US
dc.titleRegularization by means of denoising in imagingen_US
dc.typeConference materialsuk_UA
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