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Volumn , Issue , 2008, Pages 226-233

Vehicle rear detection in images with Generalized Radial-Basis-Function classifiers

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CLASSIFIERS; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; FEEDFORWARD NEURAL NETWORKS; IMAGE ENHANCEMENT; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; VEHICLES;

EID: 57749206228     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2008.4621273     Document Type: Conference Paper
Times cited : (10)

References (24)
  • 1
    • 57749183775 scopus 로고    scopus 로고
    • M. Botsch and J. A. Nossek. Construction of interpretable radial basis function classifiers based on the random forest kernel. accepted for the IEEE World Conference on Comptational Intelligence, 2008.
    • M. Botsch and J. A. Nossek. Construction of interpretable radial basis function classifiers based on the random forest kernel. accepted for the IEEE World Conference on Comptational Intelligence, 2008.
  • 2
    • 0004140497 scopus 로고    scopus 로고
    • Out-of-bag estimation
    • Technical report, University of California, Berkeley
    • L. Breiman. Out-of-bag estimation. Technical report, University of California, Berkeley, 1996.
    • (1996)
    • Breiman, L.1
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 10244252676 scopus 로고    scopus 로고
    • Obstacle detection in a road scene based on motion analysis
    • D. Kachi-Akkouche C. Demonceau, A. Potelle. Obstacle detection in a road scene based on motion analysis. In IEEE Vehicular Technology, volume 53, pages 1649-1656, 2004.
    • (2004) IEEE Vehicular Technology , vol.53 , pp. 1649-1656
    • Kachi-Akkouche, D.1    Demonceau, C.2    Potelle, A.3
  • 6
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • S. Chen, C. F. N. Cowan, and P. M. Grant. Orthogonal least squares learning algorithm for radial basis function networks. In IEEE Transactions on Neural Networks, volume 2, pages 302-309, 1991.
    • (1991) IEEE Transactions on Neural Networks , vol.2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 20
    • 57749204691 scopus 로고    scopus 로고
    • V. Graefe U. Regensburger. Visual recognition of obstacles on roads, 1994.
    • V. Graefe U. Regensburger. Visual recognition of obstacles on roads, 1994.
  • 22
    • 0030197198 scopus 로고    scopus 로고
    • Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction
    • B. A. Whitehead and T. D. Choate. Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction. In IEEE Transactions on Neural Networks, volume 7, pages 869-880, 1996.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , pp. 869-880
    • Whitehead, B.A.1    Choate, T.D.2
  • 23
    • 0001868976 scopus 로고    scopus 로고
    • An efficient method to estimate bagging's generalization error
    • Technical report, Santa Fe Institute
    • D. H. Wolpert and W. G. Macready. An efficient method to estimate bagging's generalization error. Technical report, Santa Fe Institute, 1996.
    • (1996)
    • Wolpert, D.H.1    Macready, W.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.