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CODE FOR AISTATS 2018 Paper

ABOUT

This is a C++ implementation of the variational inference algorithm using worst-case optimal submodular extensions for Potts and hierarchical Potts models for sparse and dense CRFs, as described in

Pankaj Pansari, Chris Russell and M. Pawan Kumar

Worst-case Optimal Submodular Extensions for Marginal Estimation

AISTATS 2018

AUTHOR(S)

Pankaj Pansari

CONTACT

If you have any suggestions regarding the program or have bugs to report, you can email Pankaj Pansari (pankaj@robots.ox.ac.uk).

About

C++ Code for AISTATS 2018 paper "Worst-case Optimal Submodular Extensions for Marginal Estimation"

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