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Discrete Optimization Lecture 9

Discrete Optimization Lecture 9. M. Pawan Kumar pawan.kumar@ecp.fr. Slides available online http:// cvn.ecp.fr /personnel/ pawan /. Questions?. Topics. Belief Propagation (tight for trees). LP Relaxation. Tight for trees. Minimum Cut (tight for submodular ). Tight for submodular.

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M. Pawan Kumar Center for Visual Computing Ecole Centrale Paris

Rounding-based Moves for Metric Labeling. M. Pawan Kumar Center for Visual Computing Ecole Centrale Paris. Metric Labeling. Post. Random variables V = {v 1 , v 2 , …, v n }. Label set L = {l 1 , l 2 , …, l h }. Labeling y ∈ L n. Labelings quantatively distinguished by energy E( y ).

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677 views • 65 slides

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