2 citations · 2 across the 4 of their papers we have counts for
5 papers
Local Conditioning: Exact Message Passing for Cyclic Undirected Distributed Networks
Matthew G. Reyes
This paper addresses practical implementation of summing out, expanding, and reordering of messages in Local Conditioning (LC) for undirected networks. In particular, incoming mess…
Row-Centric Lossless Compression of Markov Images
Matthew G. Reyes, David L. Neuhoff
Motivated by the question of whether the recently introduced Reduced Cutset Coding (RCC) offers rate-complexity performance benefits over conventional context-based conditional cod…
Correct Convergence of Min-Sum Loopy Belief Propagation in a Block Interpolation Problem
Yutong Wang, Matthew G. Reyes, David L. Neuhoff
This work proves a new result on the correct convergence of Min-Sum Loopy Belief Propagation (LBP) in an interpolation problem on a square grid graph. The focus is on the notion of…
Cutset Width and Spacing for Reduced Cutset Coding of Markov Random Fields
Matthew G. Reyes, David L. Neuhoff
In this paper we explore tradeoffs, regarding coding performance, between the thickness and spacing of the cutset used in Reduced Cutset Coding (RCC) of a Markov random field image…
Minimum Conditional Description Length Estimation for Markov Random Fields
Matthew G. Reyes, David L. Neuhoff
In this paper we discuss a method, which we call Minimum Conditional Description Length (MCDL), for estimating the parameters of a subset of sites within a Markov random field. We…