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Volumn 33, Issue 11, 2000, Pages 1919-1925

MRF parameter estimation by MCMC method

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES; MONTE CARLO METHODS; PARAMETER ESTIMATION;

EID: 0034325418     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00178-8     Document Type: Article
Times cited : (32)

References (10)
  • 1
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • J. Besag Spatial interaction and the statistical analysis of lattice systems J. Roy. Statist. Soc. Ser. B 36 1974 192 236
    • (1974) J. Roy. Statist. Soc. Ser. B , vol.36 , pp. 192-236
    • Besag, J.1
  • 2
    • 85120131324 scopus 로고    scopus 로고
    • S. Barker, Image segmentation using Markov random field models, Ph.D. Thesis, University of Cambridge, 1998.
  • 3
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distribution and the Bayesian restoratopn of images
    • S. Geman D. Geman Stochastic relaxation, Gibbs distribution and the Bayesian restoratopn of images IEEE Trans. PAMI 6 6 1984 721 741
    • (1984) IEEE Trans. PAMI , vol.6 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 4
    • 0003925908 scopus 로고
    • Markov Random Field Modeling in Computer Vision
    • S. Li Markov Random Field Modeling in Computer Vision 1995 Springer New York
    • (1995)
    • Li, S.1
  • 5
    • 0003678550 scopus 로고
    • Introduction to Modern Statistical Mechanics
    • D. Chandler Introduction to Modern Statistical Mechanics 1987 Oxford University Press Oxford
    • (1987)
    • Chandler, D.1
  • 6
    • 0032075674 scopus 로고    scopus 로고
    • Bayesian estimation for homogeneous and inhomogeneous Gaussian random fields
    • R. Aykroyd Bayesian estimation for homogeneous and inhomogeneous Gaussian random fields IEEE Trans. Pattern Analysis Mach. Intell. 20 5 1998 533 539
    • (1998) IEEE Trans. Pattern Analysis Mach. Intell. , vol.20 , Issue.5 , pp. 533-539
    • Aykroyd, R.1
  • 7
    • 0023123263 scopus 로고
    • Modeling and segmentation of noisy and textured images using Gibbs random fields
    • H. Derin H. Elliott Modeling and segmentation of noisy and textured images using Gibbs random fields IEEE Trans. Pattern Analysis Mach. Intell. 9 1 1987 39 55
    • (1987) IEEE Trans. Pattern Analysis Mach. Intell. , vol.9 , Issue.1 , pp. 39-55
    • Derin, H.1    Elliott, H.2
  • 9
    • 85120117850 scopus 로고    scopus 로고
    • M. Cowles, B. Carlin, Markov Chain Monte Carlo convergence diagnostics: a comparative review, Technical Report, Division of Biostatistics, School of Public Health, University of Minnesota, 1994.
  • 10
    • 85120092050 scopus 로고    scopus 로고
    • S. Brooks, P. Dellaportas, G. Roberts, An approach to diagnosing total variation convergence of MCMC algorithms, University of Cambridge, http://www.stats.bris.ac.uk/ maspb/mypapers/brodr96.html, 1996.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.