Markov Random Field Energy Minimization via Iterated Cross Entropy with Partition Strategy


This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is based on the theory of cross entropy, is general and stochastic. Unlike some popular optimization methods such as belief propagation (BP) and graph cuts (GC), ICEPS makes no… (More)
DOI: 10.1109/ICASSP.2007.366715


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