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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/34746
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dc.contributor.authorRogachev, N. E.-
dc.contributor.authorRamanouski, Y. Y.-
dc.contributor.authorGuletskii, N. V.-
dc.date.accessioned2019-03-19T11:52:33Z-
dc.date.available2019-03-19T11:52:33Z-
dc.date.issued2019-
dc.identifier.citationRogachev, N. E. Practical aspects of deep learning for person identification / N. E. Rogachev, Y. Y. Ramanouski, N. V. Guletskii // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 50 – 56.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/34746-
dc.description.abstractThis paper focuses on the peculiarities of implementing and training fast and accurate models for person identification. During our research, we have evaluated numerous datasets, deep neural network architectures, loss functions and training techniques both for face- and body-based identification.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectdeep learningru_RU
dc.subjectsupervised learningru_RU
dc.subjectperson identificationru_RU
dc.titlePractical aspects of deep learning for person identificationru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)

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