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Abstract: ] C. Therrien, T. Quatieri, and D. Dudgeon. Statistical model-based algorithm for image analysis. Proc. of the IEEE, 74(4):532--551, April 1986. [158] C. W. Therrien, editor. Decision Estimation and Classification: An Introduction to Pattern Recognition and Related Topics. John Wiley & Sons, New York, 1989. [159] A. Thompson, J. Kay, and D. Titterington. A cautionary note about the cross validatory choice. J. statist. Comput. Simul., 33:199--216, 1989. [160] A. M. Thompson, J. C. Brown, J. W.... (Update)
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...create regions based on some probability model of the original image. The heart of this approach is the com putation of such probabilities [3] [15] Methods based on MRF models require an accurate knowledge of the prior distribution of the image and are usually computationally...
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BibTeX entry: (Update)
C. Bouman. Markov Random Fields and Stochastic Image Mod- els. Tutorial presented at IEEE Inter. Conf. on Image Processing, Washington, 23-25 Oct, 1995. http://citeseer.ist.psu.edu/bouman95markov.html More
@misc{ bouman95markov,
author = "C. Bouman",
title = "Markov Random Fields and Stochastic Image Mod- els",
text = "C. Bouman. Markov Random Fields and Stochastic Image Mod- els. Tutorial
presented at IEEE Inter. Conf. on Image Processing, Washington, 23-25 Oct,
1995.",
year = "1995",
url = "citeseer.ist.psu.edu/bouman95markov.html" }
Citations (may not include all citations):1 Simulation and Stochastic Optimization Methods (context) - Convex
1 Mean field theory (context) - Discrete, annealing et al.
1 Simulated annealing [149] ii (context) - Continuous
1 maximum pseudolikelihood (context) - For, MRF et al.
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