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Local Subspace Classifier in Reproducing Kernel Hilbert Space
Zou, DF; Tan, T; Shi, YC; Gao, W
Source PublicationADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS
2000
Volume1948Pages:434-441
SubtypeArticle
AbstractLocal Subspace Classifier(LSC) is a new classification technique, which is closely related to the subspace classification methods, and a heir of prototype classification methods. And it is superior to both of them. In this paper, a method of improving the performance of Local Subspace Classifier is presented. It is to avoid the intersection of the local subspaces representing the respective categories by mapping the original feature space into RKHS(Reproducing Kernel Hilbert Space).
WOS HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS IDWOS:000174117200057
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9803
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Character Recognit Lab, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Zou, DF,Tan, T,Shi, YC,et al. Local Subspace Classifier in Reproducing Kernel Hilbert Space[J]. ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS,2000,1948:434-441.
APA Zou, DF,Tan, T,Shi, YC,&Gao, W.(2000).Local Subspace Classifier in Reproducing Kernel Hilbert Space.ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS,1948,434-441.
MLA Zou, DF,et al."Local Subspace Classifier in Reproducing Kernel Hilbert Space".ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS 1948(2000):434-441.
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