|EFFICIENT BAYESIAN INFERENCE USING FULLY CONNECTED CONDITIONAL RANDOM FIELDS WITH STOCHASTIC CLIQUES
|Year of Publication
|Shafiee, M. J., A. Wong, P. Siva, and P. Fieguth
|International Conference on Image Processing, IEEE
Conditional random fields (CRFs) are one of the most powerful frameworks in image modeling. However practical CRFs typically have edges only between nearby nodes; using more interactions and expressive relations among nodes make these methods impractical for large-scale applications, due to the high computational complexity.