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Volumn 89, Issue 10, 2009, Pages 2066-2071

Computational load reduction in decision functions using support vector machines

Author keywords

Image recognition; Kernel methods; Support vector machines (SVMs)

Indexed keywords

BINARY CLASSIFIERS; COMPUTATIONAL LOADS; DECISION FUNCTIONS; EVALUATION FUNCTION; GEOMETRICAL RELATIONS; KERNEL METHODS; SUPPORT VECTOR CLASSIFICATION;

EID: 67349110403     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.03.032     Document Type: Article
Times cited : (27)

References (14)
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  • 7
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    • Using the Nystrom method to speed up kernel machines
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    • Williams, C.K.1    Seeger, M.2
  • 10
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    • Improving the accuracy and speed of support vector machines
    • MIT Press, Singapore
    • Burges J.C., and Scholkopf B. Improving the accuracy and speed of support vector machines. Advances in Neural Information Processing Systems vol. 9 (1997), MIT Press, Singapore 375-381
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 375-381
    • Burges, J.C.1    Scholkopf, B.2
  • 12
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    • A tutorial on support vector machines for pattern recognition
    • Burges C.J. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2 2 (1998) 121-167
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  • 13
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    • UCI machine learning repository
    • D.N.A. Asuncion, UCI machine learning repository, 2007 〈http://www.ics.uci.edu/~mlearn/MLRepository.html〉.
    • (2007)
    • Asuncion, D.N.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.