Mrf optimization - PowerPoint PPT Presentation

Discrete Inference and Learning

Discrete Inference and Learning. Lecture 4 Primal-dual schema , dual decomposition. Slides courtesy of Nikos Komodakis. Yuliya Tarabalka yuliya.tarabalka@inria.fr. Part I Recap : MRFs and Convex Relaxations. Discrete MRF optimization. Given: Objects from a graph

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MRF optimization based on Linear Programming relaxations

MRF optimization based on Linear Programming relaxations. Nikos Komodakis University of Crete. IPAM, February 2008. (optimize an objective function). (subject to some constraints). this is the so called feasible set , containing all x satisfying the constraints. Introduction.

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