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In statistics, iterated conditional modes is a deterministic algorithm for obtaining a configuration of a local maximum of the joint probability of a Markov random field. It does this by iteratively maximizing the probability of each variable conditioned on the rest.

See also

Belief propagation
Graph cuts in computer vision
Optimization problem

Besag, J. E. (1986), "On the Statistical Analysis of Dirty Pictures", Journal of the Royal Statistical Society, Series B, 48 (3): 259–302, JSTOR 2345426

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