Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
probabilistic graphical model
|
| gptkbp:alsoKnownAs |
gptkb:MRF
|
| gptkbp:application |
computer vision
natural language processing remote sensing speech recognition medical image analysis object recognition spatial data analysis image denoising texture synthesis spatial epidemiology scene labeling |
| gptkbp:describes |
set of random variables having Markov property
|
| gptkbp:field |
gptkb:machine_learning
computer vision statistics statistical physics |
| gptkbp:form |
gptkb:Markov_property
gptkb:clique partition function energy function factorization over cliques graphical model potential function undirected graphical model joint distribution local dependencies joint probability distribution factorizes over cliques |
| https://www.w3.org/2000/01/rdf-schema#label |
Markov Random Field
|
| gptkbp:inferenceMethod |
gptkb:Markov_Chain_Monte_Carlo
gptkb:Gibbs_sampling belief propagation |
| gptkbp:notableContributor |
gptkb:Julian_Besag
gptkb:Donald_Geman gptkb:Stuart_Geman |
| gptkbp:originatedIn |
gptkb:statistical_mechanics
|
| gptkbp:property |
global Markov property
local Markov property pairwise Markov property |
| gptkbp:relatedConcept |
gptkb:Ising_model
gptkb:Potts_model gptkb:Gibbs_distribution gptkb:Hammersley–Clifford_theorem |
| gptkbp:relatedTo |
gptkb:Bayesian_Network
gptkb:Conditional_Random_Field |
| gptkbp:structure |
graph
|
| gptkbp:usedFor |
spatial statistics
pattern recognition image segmentation restoration of images |
| gptkbp:bfsParent |
gptkb:Boltzmann_machine
|
| gptkbp:bfsLayer |
5
|