Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/51939
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLiao, Z. M.-
dc.coverage.spatialМинскru_RU
dc.date.accessioned2023-06-12T08:10:28Z-
dc.date.available2023-06-12T08:10:28Z-
dc.date.issued2023-
dc.identifier.citationLiao, Z. M. A hybrid classication algorithm based on svm, ann and knn for gesture recognition / Z. M. Liao // Технологии передачи и обработки информации : материалы Международного научно-технического семинара, Минск, март-апрель 2023 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. Ю. Цветков [и др.]. – Минск, 2023. – С. 159–162.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/51939-
dc.description.abstractA hybrid model based on SVM, ANN, KNN is proposed, which improves the accuracy compared to the traditional gesture recognition algorithm by combining it with the traditional gesture recognition algorithm.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectgesture recognitionru_RU
dc.subjectclassification algorithmsru_RU
dc.subjecthuman-computer interactionru_RU
dc.titleA hybrid classication algorithm based on svm, ann and knn for gesture recognitionru_RU
dc.typeArticleru_RU
Appears in Collections:Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2023)

Files in This Item:
File Description SizeFormat 
Liao_A_hybrid.pdf474.35 kBAdobe PDFView/Open
Show simple item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.