南方科技大学知识苑(SUSTech KC): Reliable Hybrid Mixture Model for Generalized Point Set Registration

题名	Reliable Hybrid Mixture Model for Generalized Point Set Registration
作者	Zhang，Zhengyan 1; Min，Zhe 2; Zhang，Ang 3; Wang，Jiaole 4; Song，Shuang 1; Meng，Max Q.H.5
发表日期	2021
DOI	10.1109/TIM.2021.3120377
发表期刊	IEEE Transactions on Instrumentation and Measurement 影响因子和分区
ISSN	1557-9662
卷号	70页码:1-10
关键词	Expectation maximization (EM) maximum likelihood estimation (MLE) partial hybrid mixture model point set registration (PSR) surgical navigation
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
EI入藏号	20214311082907
EI主题词	Augmented reality ; Bone ; Hidden Markov models ; Image segmentation ; Linear transformations ; Maximum principle ; Mixtures ; Navigation ; Probabilistic logics ; Problem solving ; Reliability ; Surgery
EI分类号	Biological Materials and Tissue Engineering:461.2 ; Medicine and Pharmacology:461.6 ; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1 ; Computer Software, Data Handling and Applications:723 ; Mathematical Transformations:921.3 ; Statistical Methods:922
ESI学科分类	ENGINEERING
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9576528
引用统计	被引频次[WOS]：19
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/254523
专题	工学院_电子与电气工程系
作者单位	1.School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China. 2.Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom. 3.Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong. 4.School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China. (e-mail: wangjiaole@hit.edu.cn) 5.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
推荐引用方式 GB/T 7714	Zhang，Zhengyan,Min，Zhe,Zhang，Ang,et al. Reliable Hybrid Mixture Model for Generalized Point Set Registration[J]. IEEE Transactions on Instrumentation and Measurement,2021,70:1-10.
APA	Zhang，Zhengyan,Min，Zhe,Zhang，Ang,Wang，Jiaole,Song，Shuang,&Meng，Max Q.H..(2021).Reliable Hybrid Mixture Model for Generalized Point Set Registration.IEEE Transactions on Instrumentation and Measurement,70,1-10.
MLA	Zhang，Zhengyan,et al."Reliable Hybrid Mixture Model for Generalized Point Set Registration".IEEE Transactions on Instrumentation and Measurement 70(2021):1-10.