中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Feature extraction using maximum variance sparse mapping

文献类型:期刊论文

作者Liu, Jin1,3; Li, Bo1,2,3; Zhang, Wen-Sheng3
刊名NEURAL COMPUTING & APPLICATIONS
出版日期2012-11-01
卷号21期号:8页码:1827-1833
关键词MVSM Sub-manifold Sparse representation
英文摘要In this paper, a multiple sub-manifold learning method-oriented classification is presented via sparse representation, which is named maximum variance sparse mapping. Based on the assumption that data with the same label locate on a sub-manifold and different class data reside in the corresponding sub-manifolds, the proposed algorithm can construct an objective function which aims to project the original data into a subspace with maximum sub-manifold distance and minimum manifold locality. Moreover, instead of setting the weights between any two points directly or obtaining those by a square optimal problem, the optimal weights in this new algorithm can be approached using L1 minimization. The proposed algorithm is efficient, which can be validated by experiments on some benchmark databases.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]UNSUPERVISED DISCRIMINANT PROJECTION ; DIMENSIONALITY REDUCTION ; FACE RECOGNITION ; PALM BIOMETRICS ; REPRESENTATION
收录类别SCI
语种英语
WOS记录号WOS:000309878400002
源URL[http://ir.ia.ac.cn/handle/173211/10742]  
专题精密感知与控制研究中心_精密感知与控制
作者单位1.Wuhan Univ, State Key Lab Software Engn, Wuhan 430072, Peoples R China
2.Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan 430081, Peoples R China
3.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Liu, Jin,Li, Bo,Zhang, Wen-Sheng. Feature extraction using maximum variance sparse mapping[J]. NEURAL COMPUTING & APPLICATIONS,2012,21(8):1827-1833.
APA Liu, Jin,Li, Bo,&Zhang, Wen-Sheng.(2012).Feature extraction using maximum variance sparse mapping.NEURAL COMPUTING & APPLICATIONS,21(8),1827-1833.
MLA Liu, Jin,et al."Feature extraction using maximum variance sparse mapping".NEURAL COMPUTING & APPLICATIONS 21.8(2012):1827-1833.

入库方式: OAI收割

来源:自动化研究所

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