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Volumn 2, Issue , 2004, Pages

Interactive content-based image retrieval using Laplacian mixture model in the wavelet domain

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; AUTOMATION; FEEDBACK; FUNCTIONS; LAPLACE TRANSFORMS; TEXTURES; WAVELET TRANSFORMS;

EID: 4344569806     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (16)
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  • 3
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    • VisualSeek, A fully automated content-based image query system
    • MA
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  • 6
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    • (1995) Proc. of IEEE International Conference on Image
    • Smith, J.R.1    Chang, S.-F.2
  • 9
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    • Support vector machine learning for image retrieval
    • Thessaloniki, Greece, October
    • L. Zhang, F. Lin and B. Zhang, Support vector machine learning for image retrieval, IEEE Int. Conf. on Image Processing, Thessaloniki, Greece, vol.2, pp. 721-724, October 2001.
    • (2001) IEEE Int. Conf. on Image Processing , vol.2 , pp. 721-724
    • Zhang, L.1    Lin, F.2    Zhang, B.3
  • 10
    • 0036650984 scopus 로고    scopus 로고
    • PicSom-self-organizing image retrieval with MPEG-7 content descriptions
    • July
    • J. Laaksonen, M. Koskela, and E. Oja, "PicSom-self-organizing image retrieval with MPEG-7 content descriptions", IEEE Trans. on Neural Network, vol. 13, no. 4, pp. 841-853, July 2002.
    • (2002) IEEE Trans. on Neural Network , vol.13 , Issue.4 , pp. 841-853
    • Laaksonen, J.1    Koskela, M.2    Oja, E.3
  • 13
    • 0003857778 scopus 로고    scopus 로고
    • A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models
    • University of Berkeley
    • J. Bilmes, "A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models", Technical Report ICSI1TR-97-021, University of Berkeley (1998).
    • (1998) Technical Report , vol.ICSI1TR-97-021
    • Bilmes, J.1
  • 14
    • 0033100650 scopus 로고    scopus 로고
    • Image Interpolation for progressive transmission by using radial basis function networks
    • Sigitani et. al. "Image Interpolation for progressive transmission by using radial basis function networks" IEEE Trans. Neural Networks, vol. 10, no. 2, pp. 381-390, 1999.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.2 , pp. 381-390
    • Sigitani1
  • 15
    • 0032636367 scopus 로고    scopus 로고
    • Probabilistic feature relevance learning for content-based image retrieval
    • Jul/Aug
    • J. Peng, B. Bhanu and S. Qing "Probabilistic feature relevance learning for content-based image retrieval Computer Vision and Image Understanding, vol. 75, no. 1/2, pp. 150-164, Jul/Aug 1999.
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  • 16
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    • A non-linear RBF model for interactive content-based image retrieval
    • Australia, December
    • P. Muneesawnag and L. Guan, "A non-linear RBF model for interactive content-based image retrieval", The First IEEE Pacific-Rim Conference on Multimedia, Australia, pp. 188-191, December 2000.
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    • Muneesawnag, P.1    Guan, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.