Distributed non-convex ADMM-based inference in large-scale random fields

Distributed non-convex ADMM-based inference in large-scale random fields

We propose a parallel and distributed algorithm for solving discrete labeling problems in large scale random fields. Our approach is motivated by the following observations: i) very large scale image and video processing problems, such as labeling dozens of million pixels with thousands of labels, a...

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Dades bibliogràfiques
Autors principals:	Miksik, O, Vineet, V, Pérez, P, Torr, PHS
Format:	Conference item
Idioma:	English
Publicat:	British Machine Vision Association 2014

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