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Volumn 4669 LNCS, Issue PART 2, 2007, Pages 603-610

Real-time foreground-background segmentation using adaptive support vector machine algorithm

Author keywords

Foreground background segmentation; Regression; Support vector machine

Indexed keywords

PARAMETER ESTIMATION; PROBLEM SOLVING; REAL TIME SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 38149095107     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74695-9_62     Document Type: Conference Paper
Times cited : (4)

References (16)
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    • Support vector machine with adaptive parameters in financial time series forecasting
    • Cao, L.J., Tay, F.E.H.: Support vector machine with adaptive parameters in financial time series forecasting. IEEE Transactions on Neural Networks 14, 1506-1518 (2003)
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    • Cao, L.J.1    Tay, F.E.H.2
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    • Least Squares Support Vector Machine Classifiers
    • Suykens, J.A.K., Vandewa, J.: Least Squares Support Vector Machine Classifiers. Neural Processing Letters 9, 200-293 (1999)
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    • Suykens, J.A.K.1    Vandewa, J.2
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    • Weighted Least Squares Support Vector Machines: Robustness and Sparse Approximation
    • Suykens, J.A.K., Brabanter, J.D., Lukas, L., Vandewalle, J.: Weighted Least Squares Support Vector Machines: Robustness and Sparse Approximation. Neurocomputing 48, 85-105 (2002)
    • (2002) Neurocomputing , vol.48 , pp. 85-105
    • Suykens, J.A.K.1    Brabanter, J.D.2    Lukas, L.3    Vandewalle, J.4
  • 14
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    • Yu, S., Yang, X.W., Hao, Z.F., Liang, Y.C.: An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. In: Wang, J., Yi, Z., Zurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, 3971, pp. 981-990. Springer, Heidelberg (2006)
    • Yu, S., Yang, X.W., Hao, Z.F., Liang, Y.C.: An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. In: Wang, J., Yi, Z., Zurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3971, pp. 981-990. Springer, Heidelberg (2006)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.