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Volumn 30, Issue 6, 2000, Pages 674-679

Outliers robustness in multivariate orthogonal regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COMPUTER VISION; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; PATTERN RECOGNITION;

EID: 0034313569     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/3468.895890     Document Type: Article
Times cited : (15)

References (18)
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    • Golub, G.H.1    Van Loan, C.F.2
  • 6
    • 0021482113 scopus 로고
    • Location of several outliers in multiple regression data using elemental sets
    • D.M. Hawkins, D. Bradu, and G. V. Kass, "Location of several outliers in multiple regression data using elemental sets," Technometrics, vol. 26, pp. 197-208, 1984.
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    • Hawkins, D.M.1    Bradu, D.2    Kass, G.V.3
  • 8
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    • Eigenvalue and eigenvector derivatives of a nondefective matrix
    • J. Juang, P. Ghaemmaghami, and K. B. Lim, "Eigenvalue and eigenvector derivatives of a nondefective matrix," J. Guidance, vol. 12, no. 4, pp. 480-486, 1989.
    • (1989) J. Guidance , vol.12 , Issue.4 , pp. 480-486
    • Juang, J.1    Ghaemmaghami, P.2    Lim, K.B.3
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    • R. A. Maronna, O. Bustos, and V. Yohai, "Bias and efficiency robustness of general M-estimators for regression with random carriers," in Smoothing Techniques for Curve Estimation, T. Gasser and M. Rosenblatt, Eds. New York: Springer, 1993.
    • (1993) Smoothing Techniques for Curve Estimation
    • Maronna, R.A.1    Bustos, O.2    Yohai, V.3
  • 12
    • 0026135419 scopus 로고
    • Robust regression methods for computer vision: A review
    • P. Meer, D. Mintz, A. Rosenfeld, and D. Yoon Kim, "Robust regression methods for computer vision: a review," Int. J. Comput. Vis., vol. 6, no. 1, pp. 59-70, 1991.
    • (1991) Int. J. Comput. Vis. , vol.6 , Issue.1 , pp. 59-70
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  • 14
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    • Rejecting outliers and estimating errors in an orthogonal regression framework
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.