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Exact MAP inference in general higher-order graphical models using linear programming
arXiv CS.AI
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ArXi:1709.09051v2 Announce Type: replace-cross This paper is concerned with the problem of exact MAP inference in general higher-order graphical models by means of a traditional linear programming relaxation approach. In fact, the proof that we have developed in this paper is a rather simple algebraic proof being made straightforward, above all, by the