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Markov Random Field (MRF) model. Each node represents a pixel in the classification map, the optimal label assignment depends on both single site potential (φ) and pair potential (ϑ). The former is defined by the Random Forest output that assigns probabilities to the T class labels whereas Potts potentials are used for the latter.
