We consider pairwise Markov random fields which have a number of important applications in statistical physics, image processing and machine learning such as Ising model and labeling problem to name a couple. Our own motivation comes from the need to produce synthetic models for social networks with attributes. First, we give conditions for rapid mixing of the associated Glauber dynamics and co...

EMPs Extended morphological profiles EMPs Extended morphological profiles LDA Linear discriminant analysis LogDA Logarithmic discriminant analysis MLR Multinomial logistic regression MLRsubMRF Subspace-based multinomial logistic regression followed by Markov random fields MPs Morphological profiles MRFs Markov random fields PCA Principal component analysis QDA Quadratic discriminant analysis RH...

Snakes have been used extensively in locating object boundaries. However, in the medical imaging field, many organs in close proximity have similar intensity values, limiting the usefulness of snakes in segmentation of abdominal organs. In this paper, we use the gradient vector flow snake to test the benefits of running snakes on texture features from a Markov Random Fields model as opposed to ...