Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zhen-Qun Yang"'
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-15 (2022)
Abstract Background The lack of the rehabilitation professionals is a global issue and it is becoming more serious during COVID-19. An Augmented Reality Rehabilitation System (AR Rehab) was developed for virtual training delivery. The virtual trainin
Externí odkaz:
https://doaj.org/article/cc652986083f4df3ad3fcc433da94347
Autor:
Yi Cao, Zhen-Qun Yang, Xu-Lu Zhang, Wenqi Fan, Yaowei Wang, Jiajun Shen, Dong-Qing Wei, Qing Li, Xiao-Yong Wei
Publikováno v:
Briefings in bioinformatics. 23(5)
Anatomical Therapeutic Chemical (ATC) classification for compounds/drugs plays an important role in drug development and basic research. However, previous methods depend on interactions extracted from STITCH dataset which may make it depend on lab ex
Autor:
Xiao-Yong Wei, S. Kevin Zhou, Liang Du, Sheng Ailin, Zhang Xulu, Wu Yongkang, Zhen-Qun Yang, Ga Liao
Publikováno v:
IEEE transactions on medical imaging. 40(7)
Immunofixation Electrophoresis (IFE) analysis is of great importance to the diagnosis of Multiple Myeloma, which is among the top-9 cancer killers in the United States, but has rarely been studied in the context of deep learning. Two possible reasons
Publikováno v:
IEEE Transactions on Image Processing. 26:3896-3910
In this paper, we have proposed a novel method, which utilizes the contextual relationship among visual words for reducing the quantization errors in near-duplicate image retrieval (NDR). Instead of following the track of conventional NDR techniques,
Publikováno v:
IEEE Transactions on Image Processing. 23:527-540
Near-duplicate retrieval (NDR) in merchandize images is of great importance to a lot of online applications on e-Commerce websites. In those applications where the requirement of response time is critical, however, the conventional techniques develop
Autor:
Zhen-Qun Yang, Xiao-Yong Wei
Publikováno v:
IEEE Transactions on Image Processing. 22:955-968
Conventional active learning approaches for interactive video/image retrieval usually assume the query distribution is unknown, as it is difficult to estimate with only a limited number of labeled instances available. Thus, it is easy to put the syst
Autor:
Zhen-Qun Yang, Xiao-Yong Wei
Publikováno v:
ACM Multimedia
Modeling the in-class student social networks is a highly desired goal in educational literature. However, due to the difficulty to collect social data, most of the conventional studies can only be conducted in a qualitative way on a small-scale of d
Autor:
Xiao-Yong Wei, Zhen-Qun Yang
Publikováno v:
ACM Multimedia
Active learning with uncertainty sampling has been popularly employed in implementing interactive video search, due to its promise to reduce labeling efforts. However, since the ultimate goal of interactive search is to find as many relevant shots as