The mean field theory in EM procedures for Markov random fields

This publication has 16 references indexed in Scilit:

• Graduated nonconvexity algorithm for image estimation using compound Gauss Markov field models
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003
• Mean field approximation using compound Gauss-Markov random field for edge detection and image restoration
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
• Generalized Deformable Models, Statistical Physics, and Matching Problems
  Neural Computation, 1990
• A tutorial on hidden Markov models and selected applications in speech recognition
  Proceedings of the IEEE, 1989
• Adaptive segmentation of speckled images using a hierarchical random field model
  IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
• Probabilistic Solution of Ill-Posed Problems in Computational Vision
  Journal of the American Statistical Association, 1987
• Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1987
• Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1987
• Statistical model-based algorithms for image analysis
  Proceedings of the IEEE, 1986
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
  The Annals of Mathematical Statistics, 1970