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Volumn , Issue , 2008, Pages 1207-1210

Performance evaluation of SVM in image segmentation

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SPACE; GENERALIZATION PERFORMANCE; PERFORMANCE EVALUATION; TRAINING SAMPLE;

EID: 67249086766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2008.4697347     Document Type: Conference Paper
Times cited : (9)

References (8)
  • 1
    • 0032688528 scopus 로고    scopus 로고
    • Perfect Image Segmentation using Pulse Coupled Neural Networks
    • G. Kuntimad and H.S. Ranganath, "Perfect Image Segmentation using Pulse Coupled Neural Networks", IEEE Transactions on Neural Networks, Vol.10(3), 1999, pp.591-598.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.3 , pp. 591-598
    • Kuntimad, G.1    Ranganath, H.S.2
  • 3
    • 0142088847 scopus 로고    scopus 로고
    • Texture Classification using the Support Vector Machines
    • S. Li, J.T. Kwok, H. Zhu and Y. Wang. "Texture Classification using the Support Vector Machines", Pattern Recognition, Vol.36, 2003, pp.2883-2893.
    • (2003) Pattern Recognition , vol.36 , pp. 2883-2893
    • Li, S.1    Kwok, J.T.2    Zhu, H.3    Wang, Y.4
  • 4
    • 0142123423 scopus 로고    scopus 로고
    • SVM Approximation for Real-time Image Segmentation by using an Improved Hyperrectangles-based
    • J. Miteran, S. Bouillant and E. Bourennaneb, "SVM Approximation for Real-time Image Segmentation by using an Improved Hyperrectangles-based", Real-time Imaging,Vol.9, 2003, pp.179-188.
    • (2003) Real-time Imaging , vol.9 , pp. 179-188
    • Miteran, J.1    Bouillant, S.2    Bourennaneb, E.3
  • 6
    • 0038259114 scopus 로고    scopus 로고
    • Classes of Kernels for Machine Learning: A Statistics Perspective
    • M.G. Genton., "Classes of Kernels for Machine Learning: a Statistics Perspective", Journal of Machine Learning Research, Vol.2, 2001, pp.299-312.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 299-312
    • Genton, M.G.1
  • 7
    • 0031283432 scopus 로고    scopus 로고
    • Automated Segmentation and Classification of Multispectral Magnetic Resonance Images of Brain using Artificial Neural Networks
    • W.E. Reddick, J.O. Glass, E.N. Cook, T.D. Elkin and R. J. Deaton., "Automated Segmentation and Classification of Multispectral Magnetic Resonance Images of Brain using Artificial Neural Networks", IEEE Transactions on Medical Imaging, Vol.16(6), 1997, pp.911-918.
    • (1997) IEEE Transactions on Medical Imaging , vol.16 , Issue.6 , pp. 911-918
    • Reddick, W.E.1    Glass, J.O.2    Cook, E.N.3    Elkin, T.D.4    Deaton, R.J.5
  • 8
    • 0032843554 scopus 로고    scopus 로고
    • An Adaptive Fuzzy c- Means Algorithm for Image Segmentation in the Presence of Intensity Inhomogeneities
    • D.L. Pham and J.L. Prince, "An Adaptive Fuzzy c- Means Algorithm for Image Segmentation in the Presence of Intensity Inhomogeneities", Pattern Recognition Letters, Vol.20(1), 1999, pp.57-68.
    • (1999) Pattern Recognition Letters , vol.20 , Issue.1 , pp. 57-68
    • Pham, D.L.1    Prince, J.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.