cvpr cvpr2013 cvpr2013-448 cvpr2013-448-reference knowledge-graph by maker-knowledge-mining

448 cvpr-2013-Universality of the Local Marginal Polytope


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Abstract: We show that solving the LP relaxation of the MAP inference problem in graphical models (also known as the minsum problem, energy minimization, or weighted constraint satisfaction) is not easier than solving any LP. More precisely, any polytope is linear-time representable by a local marginal polytope and any LP can be reduced in linear time to a linear optimization (allowing infinite weights) over a local marginal polytope.


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