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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… Expand
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Papers overview

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Highly Cited
2009
Highly Cited
2009
  • S. Li
  • Advances in Pattern Recognition
  • 2009
  • Corpus ID: 42670095
By reading, you can know the knowledge and things more, not only about what you get from people to people. Book will be more… Expand
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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… Expand
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Highly Cited
2005
Highly Cited
2005
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics, a very active area of research in which… Expand
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Highly Cited
2005
Highly Cited
2005
This paper describes a highly successful application of MRFs to the problem of generating high-resolution range images. A new… Expand
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Highly Cited
2003
Highly Cited
2003
  • H. Ishikawa
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 2003
  • Corpus ID: 16802586
We introduce a method to solve exactly a first order Markov random field optimization problem in more generality than was… Expand
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Highly Cited
2001
Highly Cited
2001
  • S. Li
  • Computer Science Workbench
  • 2001
  • Corpus ID: 12779752
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It… Expand
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Highly Cited
1998
Highly Cited
1998
Markov Random Fields (MRFs) can be used for a wide variety of vision problems. In this paper we focus on MRFs with two-valued… Expand
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Highly Cited
1996
Highly Cited
1996
A general model for multisource classification of remotely sensed data based on Markov random fields (MRF) is proposed. A… Expand
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Highly Cited
1995
Highly Cited
1995
  • S. Li
  • Computer Science Workbench
  • 1995
  • Corpus ID: 857008
From the Publisher: Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing… Expand
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Highly Cited
1985
Highly Cited
1985
The problem of texture classification arises in several disciplines such as remote sensing, computer vision, and image analysis… Expand
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