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Local Subspace Classifier in Reproducing Kernel Hilbert Space
Zou, DF; Tan, T; Shi, YC; Gao, W
发表期刊ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS
2000
卷号1948页码:434-441
文章类型Article
摘要Local 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标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS记录号WOS:000174117200057
引用统计
被引频次:2[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/173211/9803
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Character Recognit Lab, Beijing 100080, Peoples R China
推荐引用方式
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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