Solving Non-parametric Inverse Problem in Continuous Markov Random Field Using Loopy Belief Propagation
Solving Non-parametric Inverse Problem in Continuous Markov Random Field Using Loopy Belief Propagation
In this paper, we address the inverse problem, or the statistical machine learning problem, in Markov random fields with a non-parametric pair-wise energy function with continuous variables. The inverse problem is formulated by maximum likelihood estimation. The exact treatment of maximum likelihood estimation is intractable because of two problems: (1) …