文献
J-GLOBAL ID:202202221132331315
整理番号:22A0904907
スケルトンに基づく人間行動認識のための逐次ホップ間グラフ畳込みニューラルネットワーク(SIhGCN)【JST・京大機械翻訳】
Sequential inter-hop graph convolution neural network (SIhGCN) for skeleton-based human action recognition
著者 (5件):
Setiawan Feri
(Department of Industrial and Management Engineering, Hankuk University of Foreign Studies, 81 Oedae-ro, Mohyeon-eub, Cheoin-gu, Yongin, Gyeonggi-do 17035, Republic of Korea)
,
Setiawan Feri
(Department of Statistics and Data Science, Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, Republic of Korea)
,
Yahya Bernardo Nugroho
(Department of Industrial and Management Engineering, Hankuk University of Foreign Studies, 81 Oedae-ro, Mohyeon-eub, Cheoin-gu, Yongin, Gyeonggi-do 17035, Republic of Korea)
,
Chun Seok-Ju
(Department of Computer Education, Seoul National University of Education, 96 Seochojungang-ro, Seocho-dong, Seocho-gu, Seoul 06639, Republic of Korea)
,
Lee Seok-Lyong
(Department of Industrial and Management Engineering, Hankuk University of Foreign Studies, 81 Oedae-ro, Mohyeon-eub, Cheoin-gu, Yongin, Gyeonggi-do 17035, Republic of Korea)
資料名:
Expert Systems with Applications
(Expert Systems with Applications)
巻:
195
ページ:
Null
発行年:
2022年
JST資料番号:
W0178A
ISSN:
0957-4174
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)