Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification
Pang, Junbiao1; Qin, Lei2; Zhang, Chunjie3; Zhang, Weigang4; Huang, Qingming5,6,7; Yin, Baocai1
刊名IEEE TRANSACTIONS ON CYBERNETICS
2015-12-01
卷号45期号:12页码:2937-2947
关键词Image classification local coordinate coding (LCC) local Gaussian coding (LGC) local Laplacian coding (LPC) local student coding (LSC) locally linear classification nonlinear approximation
ISSN号2168-2267
DOI10.1109/TCYB.2015.2433926
英文摘要Local coordinate coding (LCC) is a framework to approximate a Lipschitz smooth function by combining linear functions into a nonlinear one. For locally linear classification, LCC requires a coding scheme that heavily determines the nonlinear approximation ability, posing two main challenges: 1) the locality making faraway anchors have smaller influences on current data and 2) the flexibility balancing well between the reconstruction of current data and the locality. In this paper, we address the problem from the theoretical analysis of the simplest local coding schemes, i.e., local Gaussian coding and local student coding, and propose local Laplacian coding (LPC) to achieve the locality and the flexibility. We apply LPC into locally linear classifiers to solve diverse classification tasks. The comparable or exceeded performances of state-of-the-art methods demonstrate the effectiveness of the proposed method.
资助项目National Basic Research Program of China (973 Program)[2012CB316400] ; Natural Science Foundation of China[61332016] ; Natural Science Foundation of China[61202234] ; Natural Science Foundation of China[61202322] ; Natural Science Foundation of China[61133003] ; Natural Science Foundation of China[61227004] ; Natural Science Foundation of China[61303154] ; Natural Science Foundation of China[61390510] ; Natural Science Foundation of China[61472387] ; Beijing Natural Science Foundation[4132010] ; Beijing Natural Science Foundation[KZ201310005006] ; Beijing Post-Doctoral Research Foundation ; Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality
WOS研究方向Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000365320300026
内容类型期刊论文
源URL[http://119.78.100.204/handle/2XEOYT63/9118]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Pang, Junbiao
作者单位1.Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
4.Harbin Inst Technol Weihai, Sch Comp Sci & Technol, Weihai 264209, Peoples R China
5.Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
7.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Pang, Junbiao,Qin, Lei,Zhang, Chunjie,et al. Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification[J]. IEEE TRANSACTIONS ON CYBERNETICS,2015,45(12):2937-2947.
APA Pang, Junbiao,Qin, Lei,Zhang, Chunjie,Zhang, Weigang,Huang, Qingming,&Yin, Baocai.(2015).Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification.IEEE TRANSACTIONS ON CYBERNETICS,45(12),2937-2947.
MLA Pang, Junbiao,et al."Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification".IEEE TRANSACTIONS ON CYBERNETICS 45.12(2015):2937-2947.
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