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Volumn , Issue , 2004, Pages 23-32

Improving content based image retrieval systems using finite Multinomial Dirichlet mixture

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; POLYNOMIALS; PROBABILITY DENSITY FUNCTION; SEMANTICS; SIGNAL PROCESSING; STATISTICAL METHODS; VECTORS;

EID: 17644410128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (46)

References (15)
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  • 8
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    • Combining positive and negative examples in relevance feedback for content-based image retrieval
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  • 9
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    • Unsupervised learning of a finite discrete mixture model based on the multinomial dirichlet distribution: Application to texture modeling
    • Porto, Portugal
    • N. Bouguila and D. Ziou, "Unsupervised Learning of a Finite Discrete Mixture Model Based on the Multinomial Dirichlet Distribution: Application to Texture Modeling," in PRIS2004, Porto, Portugal, 2004, pp. 118-127.
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    • Bouguila, N.1    Ziou, D.2
  • 10
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    • On fitting finite discrete mixture model based on the multinomial dirichlet distribution
    • Submitted to
    • N. Bouguila and D. Ziou, "On Fitting Finite discrete Mixture Model Based on the Multinomial Dirichlet Distribution. Submitted to," Machine Learning, 2004.
    • (2004) Machine Learning
    • Bouguila, N.1    Ziou, D.2
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    • A probabilistic multimedia summarizing based on the dirichlet mixture
    • Istanbul, Turkey
    • N. Bouguila, D. Ziou and J. Vaillancourt, "A Probabilistic Multimedia Summarizing Based on the Dirichlet Mixture," in Supplementary Proceedings of ICANN/ICONIP, Istanbul, Turkey, 2003, pp. 150-154.
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    • Bouguila, N.1    Ziou, D.2    Vaillancourt, J.3
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    • leipzig, Germany: LNS2734 Springer
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    • N. Bouguila, D. Ziou and J. Vaillancourt, "Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and its Application. To Appear in," IEEE Transactions on Image Processing, 2004.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.