DC Field | Value | Language |
dc.contributor.author | Rogachev, N. E. | - |
dc.contributor.author | Ramanouski, Y. Y. | - |
dc.contributor.author | Guletskii, N. V. | - |
dc.date.accessioned | 2019-03-19T11:52:33Z | - |
dc.date.available | 2019-03-19T11:52:33Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Rogachev, 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.uri | https://libeldoc.bsuir.by/handle/123456789/34746 | - |
dc.description.abstract | This 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.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | deep learning | ru_RU |
dc.subject | supervised learning | ru_RU |
dc.subject | person identification | ru_RU |
dc.title | Practical aspects of deep learning for person identification | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)
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