Distributed Algorithms for Topic Models
The Journal of Machine Learning Research
Performance analysis of MAC protocols in wireless line networks using statistical mechanics
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
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We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algorithms ideally designed for an implementation on massively parallel hardware. After a theoretical description of the model, we give an experimental illustration in the context of image restoration.