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Volumn 21, Issue 1, 2012, Pages 107-111

A SVDD method based on maximum distance between two centers of spheres

Author keywords

Machine learning; Pattern classification; Support vector data description (SVDD); Unbalance problem

Indexed keywords

LEARNING SYSTEMS;

EID: 84863014315     PISSN: 10224653     EISSN: 20755597     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (14)
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  • 3
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    • Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
    • Meilin Zhu, Yue Wang, Shifu Chen and Xiangdong Liu, "Sphere- structured support vector machines for multi-class pattern recognition", in G. Wang et aL (Eds.): RSFDGrC ZOOS, LNAI 2639, pp.589-593, Springer-Verlag Berlin/Heidelberg,2003. (Pubitemid 36658023)
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    • Zhu, M.1    Wang, Y.2    Chen, S.3    Liu, X.4
  • 4
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    • Classifying the multiplicity of the EEG source models using sphere-shaped support vector machines
    • DOI 10.1109/TMAG.2005.846231
    • Q. Wu, X. Shen, Y. Li, G. Xu, W. Yan, G. Dong, Q. Yang, "Classifying the multiplicity of the EEG source models using sphere-shaped support vector machines", IEEE Transactions on Magnetics, Vol.41, No.5, pp.1912-1915, 2005. (Pubitemid 40963616)
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  • 5
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    • Bayes classification based on minimum bounding spheres
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  • 6
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    • Domain described support vector classifier for multi-classification problems
    • DOI 10.1016/j.patcog.2006.06.008, PII S0031320306002809
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  • 7
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  • 8
    • 60349125360 scopus 로고    scopus 로고
    • Applying a novel decision rule to the sphere-structured support vector machines algorithm
    • Lei Gu, Huizhong Wu, "Applying a novel decision rule to the sphere-structured support vector machines algorithm", Neural Computing and Applications, Vol.18, pp.275-282, 2009.
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  • 10
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    • A small sphere and large margin approach for novelty detection using training data with outliers
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  • 11
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    • (in Chinese)
    • Zhu Xiaokai, Yang Degu, "Multi-class support vector domain description for pattern recognition based on a measure of expansibility", Acta Electronica Sinica, Vol.37, No.3, pp.464-469, 2009. (in Chinese)
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    • Xiaokai, Z.1    Degu, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.