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cs.CV2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective
D. Khuê Lê-Huu, Nikos Paragios
In this paper, we study a nonconvex continuous relaxation of MAP inference in discrete Markov random fields (MRFs). We show that for arbitrary MRFs, this relaxation is tight, and a…
cs.CV2016
Alternating Direction Graph Matching
D. Khuê Lê-Huu, Nikos Paragios
In this paper, we introduce a graph matching method that can account for constraints of arbitrary order, with arbitrary potential functions. Unlike previous decomposition approache…