Microcanonical optimization applied to visual processing
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Abstract We introduce an optimization algorithm, based on Creutz's microcanonical simulation technique, which has proven very efficient for non-convex optimization tasks associated with image-processing applications. Our algorithm should also constitute a useful heuristic for applications in other domains requiring combinatorial optimization searches.
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