Title :
A Class of Random Fields on Complete Graphs with Tractable Partition Function
Author_Institution :
Fac. of Electr. Eng., Czech Tech. Univ., Prague, Czech Republic
Abstract :
The aim of this short note is to draw attention to a method by which the partition function and marginal probabilities for a certain class of random fields on complete graphs can be computed in polynomial time. This class includes Ising models with homogeneous pairwise potentials but arbitrary (inhomogeneous) unary potentials. Similarly, the partition function and marginal probabilities can be computed in polynomial time for random fields on complete bipartite graphs, provided they have homogeneous pairwise potentials. We expect that these tractable classes of large-scale random fields can be very useful for the evaluation of approximation algorithms by providing exact error estimates.
Keywords :
approximation theory; computational complexity; graph theory; probability; approximation algorithm; complete bipartite graph; error estimation; homogeneous pairwise potential; marginal probability; polynomial time complexity; random field; tractable partition function; Approximation methods; Bipartite graph; Computational modeling; Labeling; Partitioning algorithms; Polynomials; Time complexity; Markov random fields;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2013.99