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Algorithms of Transformation in Problems of Fuzzy Comparison of Graphic Images

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dc.contributor.authorPerminov, E. N.
dc.contributor.authorEgorova, E. A.
dc.contributor.authorTarakanov, O. V.
dc.date.accessioned2024-11-25T17:59:00Z
dc.date.available2024-11-25T17:59:00Z
dc.date.issued2020
dc.description.abstract© 2020 IEEE.This article discusses how to compare photos using neural networks, namely explores how to identify similar files. The analysis of already designed and trained models is carried out, the uniqueness of each of them is determined. A detailed overview of the network structure is carried out. The article describes how and where mathematical models can be applied in practice and what is their superiority over outdated comparison algorithms, for example by generating a hash value from the contents of a given file.
dc.format.extentС. 62-64
dc.identifier.citationPerminov, E. N. Algorithms of Transformation in Problems of Fuzzy Comparison of Graphic Images / Perminov, E.N., Egorova, E.A., Tarakanov, O.V. // Proceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020. - 2020. - P. 62-64. - 10.1109/EIConRus49466.2020.9039409
dc.identifier.doi10.1109/EIConRus49466.2020.9039409
dc.identifier.urihttps://www.doi.org/10.1109/EIConRus49466.2020.9039409
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85082997052&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20558
dc.relation.ispartofProceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020
dc.titleAlgorithms of Transformation in Problems of Fuzzy Comparison of Graphic Images
dc.typeConference Paper
dspace.entity.typePublication
relation.isOrgUnitOfPublication010157d0-1f75-46b2-ab5b-712e3424b4f5
relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
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