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Adaptive nonlinear auto-associative modeling through manifold learning
Zhang, JP; Li, SZ; Ho, TB; Cheung, D; Liu, H
2005
发表期刊ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS
卷号3518页码:599-604
文章类型Article
摘要We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separately and recognition thereby. Unlike traditional supervised manifold learning algorithm, the proposed ANAM algorithm has several advantages: 1) it implicitly embodies discriminant information because the suboptimal parameters of ANAM are determined based on error rate of the validation set. 2) it avoids the curse of dimensionality without loss accuracy because recognition is completed in the original space. Experiments on character and digit databases show that the advantages of the proposed ANAM algorithm.
WOS标题词Science & Technology ; Technology
关键词[WOS]DIMENSIONALITY REDUCTION
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号WOS:000229956700068
引用统计
被引频次:3[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/173211/9066
专题09年以前成果
作者单位1.Fudan Univ, Intelligent Informat Proc Lab, Dept Comp Sci & Engn, Shanghai 200433, Peoples R China
2.Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
3.Chinese Acad Sci, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
4.Chinese Acad Sci, Ctr Biometr & Secur Res Inst Automat, Beijing 100080, Peoples R China
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Zhang, JP,Li, SZ,Ho, TB,et al. Adaptive nonlinear auto-associative modeling through manifold learning[J]. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS,2005,3518:599-604.
APA Zhang, JP,Li, SZ,Ho, TB,Cheung, D,&Liu, H.(2005).Adaptive nonlinear auto-associative modeling through manifold learning.ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS,3518,599-604.
MLA Zhang, JP,et al."Adaptive nonlinear auto-associative modeling through manifold learning".ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS 3518(2005):599-604.
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