Comparative analysis of stochastic optimization algorithms for image registration

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Full metadata record

DC Field	Value	Language
dc.date	2018
dc.date.accessioned	2025-08-22T12:19:01Z	-
dc.date.available	2025-08-22T12:19:01Z	-
dc.date.issued	2018
dc.identifier.identifier	Dspace\SGAU\20180513\69095
dc.identifier.identifier	Dspace\SGAU\20180515\69095
dc.identifier.citation	Voronov S. Comparative analysis of stochastic optimization algorithms for image registration / S. Voronov, I. Voronov, R. Kovalenko // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.776-783
dc.identifier.uri	http://repo.ssau.ru/jspui/handle/123456789/13822	-
dc.description.abstract	This work is devoted to comparative experimental analysis of different stochastic optimization algorithms for image registration in spatial domain: stochastic gradient descent, Momentum, Nesterov momentum, Adagrad, RMSprop, Adam. Correlation coefficient is considered as the objective function. Experiments are performed on synthetic data generated via wave model with different noise-to-signal ratio.
dc.description.sponsorship	This work was supported by the Russian Foundation for Basic Research, projects no. 16-41-732084and 16-31-00468.
dc.language	en
dc.publisher	Новая техника
dc.title	Comparative analysis of stochastic optimization algorithms for image registration
dc.type	Article
local.contributor.author	Voronov S.
local.contributor.author	Voronov I.
local.contributor.author	Kovalenko R.
local.identifier.olduri	http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Comparative-analysis-of-stochastic-optimization-algorithms-for-image-registration-69095
local.identifier.olduri	http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Comparative-analysis-of-stochastic-optimization-algorithms-for-image-registration-69095
Appears in Collections:	Информационные технологии и нанотехнологии

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