
GMRFLib
 Referenced in 309 articles
[sw06641]
 Gaussian Markov random fields. Theory and applications. Researchers in spatial statistics and image analysis ... familiar with Gaussian Markov Random Fields (GMRFs), and they are traditionally among ... with such widespread use in the field of spatial statistics, it is surprising that there ... comprehensive reference on the subject.par Gaussian Markov Random Fields: Theory and Applications provides such...

QUIC
 Referenced in 32 articles
[sw11795]
 underlying graph structure of a Gaussian Markov Random Field, from very limited samples. We propose...

ToulBar2
 Referenced in 22 articles
[sw07289]
 Models such as Cost Function Networks, Markov Random Fields, Weighted Constraint Satisfaction Problems, Weighted...

LibDAI
 Referenced in 15 articles
[sw06422]
 networks) as well as undirected ones (Markov random fields and factor graphs). It offers various...

LatticeKrig
 Referenced in 6 articles
[sw15594]
 package LatticeKrig: Multiresolution Kriging Based on Markov Random Fields. Methods for the interpolation of large ... compactly supported basis functions and a Markov random field model for the basis coefficients. These ... geometries besides a rectangular domain. The Markov random field approach combined with a basis function...

MALLET
 Referenced in 21 articles
[sw10602]
 Markov Models, Maximum Entropy Markov Models, and Conditional Random Fields. These methods are implemented...

XMRF
 Referenced in 5 articles
[sw22303]
 package XMRF: Markov Random Fields for HighThroughput Genetics Data. Fit Markov Networks...

foxPSL
 Referenced in 2 articles
[sw13725]
 statistical relational learning, a recently developed field of machine learning that aims at representing both ... template language for hingeloss Markov Random Fields, a type of continuous Markov Random fields...

glmie
 Referenced in 2 articles
[sw13249]
 fullyconnected undirected graphical models or Markov random fields with Gaussian and nonGaussian potentials...

growfunctions
 Referenced in 2 articles
[sw16375]
 Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations where a Dirichlet...

UGM
 Referenced in 2 articles
[sw28257]
 potentials. The last task focuses on Markov random fields and conditional random fields with...

HyPER
 Referenced in 2 articles
[sw23917]
 graphical models known as hingeloss Markov random fields. We experimentally evaluate our approach...

Characterness
 Referenced in 2 articles
[sw28333]
 characters, we then design a Markov random field model so as to exploit the inherent...

mrf2d
 Referenced in 1 article
[sw41647]
 package mrf2d: Markov Random Field Models for Image Analysis. Model fitting, sampling and visualization ... Hidden) Markov Random Field model with pairwise interactions and general interaction structure from Freguglia, Garcia...

BRISC
 Referenced in 1 article
[sw36600]
 Haralick cooccurrence, Gabor filters, and Markov random fields. Gabor and Markov descriptors perform better...

LoMRF
 Referenced in 1 article
[sw35053]
 LoMRF: Logical Markov Random Fields. LoMRF is an opensource implementation of Markov Logic Networks...

gamlss.spatial
 Referenced in 1 article
[sw36345]
 allows us to fit Gaussian Markov Random Field within the Generalized Additive Models for Location...

SpaCEM3
 Referenced in 1 article
[sw20896]
 algorithm for soft clustering and Markov Random Fields (MRF) for spatial modelling. The learning...

MRFMBNN
 Referenced in 1 article
[sw02098]
 knowledge. This is achieved by including Markov random field (MRF) into the MBNN and this...

Conrad
 Referenced in 1 article
[sw23028]
 gene predictor based on semiMarkov conditional random fields (SMCRFs). Unlike the best standalone gene ... predictors, which are based on generalized hidden Markov models (GHMMs) and trained by maximum likelihood...