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DAGM
2010
Springer

An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM

9 years 5 months ago
An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM
Abstract. Graphical models with higher order factors are an important tool for pattern recognition that has recently attracted considerable attention. Inference based on such models is challenging both from the view point of software design and optimization theory. In this article, we use the new C++ template library OpenGM to empirically compare inference algorithms on a set of synthetic and real-world graphical models with higher order factors that are used in computer vision. While inference algorithms have been studied intensively for graphical models with second order factors, an empirical comparison for higher order models has so far been missing. This article presents a first set of experiments that intends to fill this gap.
Björn Andres, Jörg H. Kappes, Ullrich K&
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where DAGM
Authors Björn Andres, Jörg H. Kappes, Ullrich Köthe, Christoph Schnörr, Fred A. Hamprecht
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