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Feature extraction using maximum variance sparse mapping
Liu, Jin1,3; Li, Bo1,2,3; Zhang, Wen-Sheng3
Source PublicationNEURAL COMPUTING & APPLICATIONS
2012-11-01
Volume21Issue:8Pages:1827-1833
SubtypeArticle
AbstractIn 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.
KeywordMvsm Sub-manifold Sparse Representation
WOS HeadingsScience & Technology ; Technology
WOS KeywordUNSUPERVISED DISCRIMINANT PROJECTION ; DIMENSIONALITY REDUCTION ; FACE RECOGNITION ; PALM BIOMETRICS ; REPRESENTATION
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000309878400002
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10742
Collection精密感知与控制研究中心_精密感知与控制
Affiliation1.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
Recommended Citation
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.
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