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A new learning algorithm based on lever principle
He, XG; Tian, J; Yang, X; Wang, L; Chen, K; Ong, YS; Tian, Jie
Source PublicationADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS
2005
Volume3610Issue:2005Pages:187-198
SubtypeArticle
AbstractIn this paper a new learning algorithm, Lever Training Machine (LTM), is presented for binary classification. LTM is a supervised leaming algorithm and its main idea is inspired from a physics principle: Lever Principle. Figuratively, LTM involves rolling a hyper-plane around the convex hull of the target training set, and using the equilibrium position of the hyper-plane to define a decision surfaces. In theory, the optimal goal of LTM is to maximize the correct rejection rate. If the distribution of target set is convex, a set of such decision surfaces can be trained for exact discrimination without false alarm. Two mathernatic experiments and the practical application of face detection confirm that LTM is an effective leaming algorithm.
KeywordLever Principle
WOS HeadingsScience & Technology ; Technology
WOS KeywordFACE DETECTION ; FEATURES
Indexed BySCI ; ISTP
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000232222400021
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9141
Collection09年以前成果
Corresponding AuthorTian, Jie
AffiliationChinese Acad Sci, Grad Sch, Key Lab Complex Syst & Intelligence Sci, Ctr Biometr & Secur Res,Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
He, XG,Tian, J,Yang, X,et al. A new learning algorithm based on lever principle[J]. ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS,2005,3610(2005):187-198.
APA He, XG.,Tian, J.,Yang, X.,Wang, L.,Chen, K.,...&Tian, Jie.(2005).A new learning algorithm based on lever principle.ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS,3610(2005),187-198.
MLA He, XG,et al."A new learning algorithm based on lever principle".ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS 3610.2005(2005):187-198.
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