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Volumn 10, Issue 5, 1999, Pages 1055-1064

Support vector machines for histogram-based image classification

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; FUNCTIONS; IMAGE PROCESSING; VECTORS;

EID: 0032594951     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.788646     Document Type: Article
Times cited : (1332)

References (18)
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  • 2
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    • Generalization performance of support vector machines and other pattern classifiers
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    • (1998) Advances in Kernel Methods - Support Vector Learning
    • Bartlett, P.1    Shawe-Taylor, J.2
  • 7
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    • Support vector networks
    • C. Cortes and V. Vapnik, "Support vector networks," Machine Learning, vol. 20, pp. 1-25, 1995.
    • (1995) Machine Learning , vol.20 , pp. 1-25
    • Cortes, C.1    Vapnik, V.2
  • 10
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    • Support vector machines for 3-d object recognition
    • June
    • M. Pontil and A. Verri, "Support vector machines for 3-d object recognition," in Pattern Anal. Machine Intell., vol. 20, June 1998.
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    • Pontil, M.1    Verri, A.2
  • 13
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    • Color- and texture-based images segmentation using em and its application to image querying and classification
    • submitted to
    • C. Carson, S. Belongie, H. Greenspan, and J. Malik, "Color- and texture-based images segmentation using em and its application to image querying and classification," submitted to Pattern Anal. Machine Intell., 1998.
    • (1998) Pattern Anal. Machine Intell.
    • Carson, C.1    Belongie, S.2    Greenspan, H.3    Malik, J.4
  • 15
    • 84957595022 scopus 로고    scopus 로고
    • Object recognition using multidimensional receptive field histograms
    • B. Schiele and J. L. Crowley, "Object recognition using multidimensional receptive field histograms," in ECCV'96, 4th European Conf. Comput. Vision, vol. I, 1996, pp. 610-619.
    • (1996) ECCV'96, 4th European Conf. Comput. Vision , vol.1 , pp. 610-619
    • Schiele, B.1    Crowley, J.L.2
  • 16
    • 18244395694 scopus 로고    scopus 로고
    • Parametric density estimation for the classification of acoustic feature vectors in speech recognition
    • J. A. K. Suykens and J. Vandewalle, Eds. Boston, MA: Kluwer
    • S. Basu and C. A. Micchelli, "Parametric density estimation for the classification of acoustic feature vectors in speech recognition," in Nonlinear Modeling: Advanced Black-Box Techniques, J. A. K. Suykens and J. Vandewalle, Eds. Boston, MA: Kluwer, 1998.
    • (1998) Nonlinear Modeling: Advanced Black-Box Techniques
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  • 17
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    • Training support vector machines: An application to face detection
    • Puerto Rico, June 17-19
    • E. Osuna, R. Freund, and F. Girosi, "Training support vector machines: An application to face detection," in IEEE CVPR '97, Puerto Rico, June 17-19, 1997.
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  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.