Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Guiji Li"'
Autor:
Xu Zhang, Guiji Li, Zhuren Zhou, Chaopeng Shao, Xuying Huang, Lichun Li, Xiaofeng Li, Ying Liu, Hua Fan, Jianping Li
Publikováno v:
Journal of Translational Medicine, Vol 17, Iss 1, Pp 1-11 (2019)
Abstract Background RH1 is one of the most clinically important blood group antigens in the field of transfusion and in the prevention of fetal incompatibility. The molecular analysis and characterization of serologic weak D phenotypes is essential t
Externí odkaz:
https://doaj.org/article/ce36d1118fae462f92e73322fc1b293a
Publikováno v:
2022 8th International Conference on Hydraulic and Civil Engineering: Deep Space Intelligent Development and Utilization Forum (ICHCE).
Publikováno v:
Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022).
Publikováno v:
Journal of Physics: Conference Series. 2491:012027
The spindle runout of unit 2 in a hydropower plant seriously exceeded the standard during the startup test, and its main frequency was consistent with the conversion frequency, which did not meet the startup test acceptance specification. Through the
Publikováno v:
Information Sciences. 518:238-255
Correlation-filter-based trackers have shown favorable accuracy and efficiency in visual tracking. However, most of these trackers are prone to drift in cases of heavy occlusions and temporal tracking failures because they only maintain the short-ter
Autor:
Hua Fan, Lichun Li, Xiao-Feng Li, Ying Liu, Zhu-Ren Zhou, Guiji Li, Jian-Ping Li, Xu-ying Huang, Xu Zhang, Chaopeng Shao
Publikováno v:
Journal of Translational Medicine, Vol 17, Iss 1, Pp 1-11 (2019)
Journal of Translational Medicine
Journal of Translational Medicine
Background RH1 is one of the most clinically important blood group antigens in the field of transfusion and in the prevention of fetal incompatibility. The molecular analysis and characterization of serologic weak D phenotypes is essential to ensurin
Publikováno v:
Neural Computing and Applications. 32:9047-9063
Recently, some researchers concentrate on applying multi-view learning to the correlation filter tracking to achieve both the efficiency and accuracy. However, most of them fail to effectively collaborate multiple views to deal with more complex envi
Publikováno v:
IEEE Transactions on Image Processing. 27:4958-4970
In this paper, we propose a novel local sparse representation-based tracking framework for visual tracking. To deeply mine the appearance characteristics of different local patches, the proposed method divides all local patches of a candidate target
Publikováno v:
Journal of Visual Communication and Image Representation. 56:92-105
Most existing local sparse trackers are prone to drifting away as they do not make use of discriminative information of local patches. In this paper, we propose an effective context-aware local sparse appearance model to alleviate the drift problem c
Autor:
Zhang, Xu, Guiji Li, Zhuren Zhou, Chaopeng Shao, Xuying Huang, Lichun Li, Xiaofeng Li, Liu, Ying, Fan, Hua, Jianping Li
Additional file 3: Table S3. Predicted 3D structure of 16 serologic weak D phenotypes with the amino acid position shifts in the intracellular loop, transmembraneous domain and exofacial loop.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::457855d61b0ccb80abf3cc8cf8ad7f93