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A new maximum margin algorithm for one-class problems and its boosting implementation
Tao, Q; Wu, GW; Wang, J
Source PublicationPATTERN RECOGNITION
2005-07-01
Volume38Issue:7Pages:1071-1077
SubtypeArticle
AbstractIn this paper, each one-class problem is regarded as trying to estimate a function that is positive on a desired slab and negative on the complement. The main advantage of this viewpoint is that the loss function and the expected risk can be defined to ensure that the slab can contain as many samples as possible. Inspired by the nature of SVMs, the intuitive margin is also defined. As a result, a new linear optimization problem to maximize the margin and some theoretically motivated learning algorithms are obtained. Moreover, the proposed algorithms can be implemented by boosting techniques to solve nonlinear one-class classifications. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
KeywordOne-class Problems Outliers Statistical Learning Theory Support Vector Machines Margin Boosting
WOS HeadingsScience & Technology ; Technology
WOS KeywordSUPPORT
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000228700900010
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9182
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Tao, Q,Wu, GW,Wang, J. A new maximum margin algorithm for one-class problems and its boosting implementation[J]. PATTERN RECOGNITION,2005,38(7):1071-1077.
APA Tao, Q,Wu, GW,&Wang, J.(2005).A new maximum margin algorithm for one-class problems and its boosting implementation.PATTERN RECOGNITION,38(7),1071-1077.
MLA Tao, Q,et al."A new maximum margin algorithm for one-class problems and its boosting implementation".PATTERN RECOGNITION 38.7(2005):1071-1077.
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