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cs.CV2013★ 1 cited
Simplifying Energy Optimization using Partial Enumeration
Carl Olsson, Johannes Ulen, Yuri Boykov +1
Energies with high-order non-submodular interactions have been shown to be very useful in vision due to their high modeling power. Optimization of such energies, however, is genera…
cs.CV2011★ 2 cited
Submodular Decomposition Framework for Inference in Associative Markov Networks with Global Constraints
Anton Osokin, Dmitry Vetrov, Vladimir Kolmogorov
In the paper we address the problem of finding the most probable state of discrete Markov random field (MRF) with associative pairwise terms. Although of practical importance, this…