Message Passing Inference for Large Scale Graphical Models with High Order Potentials

NeurIPS 2014 Jian ZhangAlex SchwingRaquel Urtasun

To keep up with the Big Data challenge, parallelized algorithms based on dual decomposition have been proposed to perform inference in Markov random fields. Despite this parallelization, current algorithms struggle when the energy has high order terms and the graph is densely connected... (read more)

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