Markov random field

Known as: Markov field, Markov net, Markov graph 
In the domain of physics and probability, a Markov random field (often abbreviated as MRF), Markov network or undirected graphical model is a set of… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an… (More)
  • figure 1
  • figure 2
  • table 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2006
Highly Cited
2006
This note contains a list of errata and comments received from readers. 
Is this relevant?
Highly Cited
2005
Highly Cited
2005
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for… (More)
  • figure 1
  • table 1
  • figure 2
  • table 2
  • table 3
Is this relevant?
Highly Cited
1998
Highly Cited
1998
Markov Random Fields (MRF’s) can be used for a wide variety of vision problems. In this paper we focus on MRF’s with two-valued… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
1998
Highly Cited
1998
Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesizing and capturing the… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 6
Is this relevant?
Highly Cited
1997
Highly Cited
1997
Describes a fully-automatic three-dimensional (3-D)-segmentation technique for brain magnetic resonance (MR) images. By means of… (More)
Is this relevant?
Highly Cited
1997
Highly Cited
1997
This paper presents multiresolution models for Gauss-Markov random fields (GMRFs) with applications to texture segmentation… (More)
Is this relevant?
Highly Cited
1994
Highly Cited
1994
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is de-ned as… (More)
Is this relevant?
Highly Cited
1986
Highly Cited
1986
1. Introduction. Computer vision refers to a variety of applications involving a sensing device, a computer, and software for… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1983
Highly Cited
1983
We consider a texture to be a stochastic, possibly periodic, two-dimensional image field. A texture model is a mathematical… (More)
Is this relevant?