We give polynomial-time algorithms for the exact computation of lowest-energy states, worst margin violators, partition functions, and marginals in certain binary undirected graphical models. Our approach provides an interesting alternative to the well-known graph cut paradigm in that it does not impose any submodularity constraints; instead we require planarity to establish a correspondence with perfect matchings in an expanded dual graph. Maximum-margin parameter estimation for a boundary detection task shows our approach to be efficient and effective. A C++ implementation is available from http://nic.schraudolph.org/isinf/.
Efficient Exact Inference in Planar Ising Models
Published 2008 in Neural Information Processing Systems
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- Publication year
2008
- Venue
Neural Information Processing Systems
- Publication date
2008-10-24
- Fields of study
Mathematics, Physics, Computer Science
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