Multiview Hybrid Embedding: A Divide-and-Conquer Approach

doi:10.1109/TCYB.2019.2894591

CASIA OpenIR > 离退休人员

	Multiview Hybrid Embedding: A Divide-and-Conquer Approach
	Xu, Jiamiao 1; Yu, Shujian 2; You, Xinge 1; Leng, Mengjun 3; Jing, Xiao-Yuan 4; Chen, C. L. Philip 5,6,7
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
	2020-08-01
卷号	50 期号:8 页码:3640-3653
通讯作者	You, Xinge(youxg@hust.edu.cn)
摘要	We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multiview subspace learning (MvSL) that aims to learn a latent subspace shared by multiview data. Despite promising results obtained on some applications, the performance of existing methods deteriorates dramatically when the multiview data is sampled from nonlinear manifolds or suffers from heavy outliers. To circumvent this drawback, motivated by the Divide-and-Conquer strategy, we propose multiview hybrid embedding (MvHE), a unique method of dividing the problem of cross-view classification into three subproblems and building one model for each subproblem. Specifically, the first model is designed to remove view discrepancy, whereas the second and third models attempt to discover the intrinsic nonlinear structure and to increase the discriminability in intraview and interview samples, respectively. The kernel extension is conducted to further boost the representation power of MvHE. Extensive experiments are conducted on four benchmark datasets. Our methods demonstrate the overwhelming advantages against the state-of-the-art MvSL-based cross-view classification approaches in terms of classification accuracy and robustness.
关键词	Kernel Interviews Manifolds Benchmark testing Geometry Optimization Cybernetics Cross-view classification Divide-and-Conquer multiview hybrid embedding (MvHE) multiview learning
DOI	10.1109/TCYB.2019.2894591
关键词[WOS]	DIMENSIONALITY REDUCTION ; REGRESSION
收录类别	SCI
语种	英语
资助项目	Key Science and Technology of Shenzhen[CXZZ20150814155434903] ; Key Program for International S&T Cooperation Projects of China[2016YFE0121200] ; Key Science and Technology Innovation Program of Hubei Province[2017AAA017] ; Macau Science and Technology Development Fund[FDCT 024/2015/AMJ] ; Special Projects for Technology Innovation of Hubei Province[2018ACA135] ; National Natural Science Foundation of China[61571205] ; National Natural Science Foundation of China[61772220] ; NSFC-Key Project of General Technology Fundamental Research United Fund[U1736211]
项目资助者	Key Science and Technology of Shenzhen ; Key Program for International S&T Cooperation Projects of China ; Key Science and Technology Innovation Program of Hubei Province ; Macau Science and Technology Development Fund ; Special Projects for Technology Innovation of Hubei Province ; National Natural Science Foundation of China ; NSFC-Key Project of General Technology Fundamental Research United Fund
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000548811800019
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：35[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40152
专题	离退休人员
通讯作者	You, Xinge
作者单位	1.Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Peoples R China 2.Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA 3.Univ Houston, Dept Comp Sci, Houston, TX 77204 USA 4.Wuhan Univ, Sch Comp, State Key Lab Software Engn, Wuhan 430072, Peoples R China 5.Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Macau 99999, Peoples R China 6.Dalian Maritime Univ, Dalian 116026, Peoples R China 7.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Xu, Jiamiao,Yu, Shujian,You, Xinge,et al. Multiview Hybrid Embedding: A Divide-and-Conquer Approach[J]. IEEE TRANSACTIONS ON CYBERNETICS,2020,50(8):3640-3653.
APA	Xu, Jiamiao,Yu, Shujian,You, Xinge,Leng, Mengjun,Jing, Xiao-Yuan,&Chen, C. L. Philip.(2020).Multiview Hybrid Embedding: A Divide-and-Conquer Approach.IEEE TRANSACTIONS ON CYBERNETICS,50(8),3640-3653.
MLA	Xu, Jiamiao,et al."Multiview Hybrid Embedding: A Divide-and-Conquer Approach".IEEE TRANSACTIONS ON CYBERNETICS 50.8(2020):3640-3653.