Huynh-The, Thien https://orcid.org/0000-0002-9172-2935
Hua, Cam-Hao
Anh Tu, Nguyen
Hur, Taeho
Bang, Jaehun
Kim, Dohyeong
Amin, Muhammad Bilal https://orcid.org/0000-0003-2431-5771
Kang, Byeong Ho https://orcid.org/0000-0003-3476-8838
Seung, Hyonwoo
Shin, Soo-Yong
Kim, Eun-Soo
Lee, Sungyoung
Funding for this research was provided by:
Ministry of Science and ICT, South Korea
Institute for Information and Communications Technology Promotion
Ministry of Science, ICT and Future Planning (IITP-2017-0-01629)
Ministry of Science, ICT and Future Planning (NRF-2016H1D3A1938039)
Ministry of Science, ICT and Future Planning (2011-0030079)
National Research Foundation of Korea
This article is maintained by: Elsevier
Article Title: Hierarchical topic modeling with pose-transition feature for action recognition using 3D skeleton data
Journal Title: Information Sciences
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.ins.2018.02.042
Content Type: article
Copyright: © 2018 Elsevier Inc. All rights reserved.