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Learning high-order MRF priors of color images

McAuley, Julian J.; Caetano, Tiberio; Smola, Alexander; Franz, Matthias O.


In this paper, we use large neighborhood Markov random fields to learn rich prior models of color images. Our approach extends the monochromatic Fields of Experts model (Roth & Black, 2005a) to color images. In the Fields of Experts model, the curse of dimensionality due to very large clique sizes is circumvented by parameterizing the potential functions according to a product of experts. We introduce simplifications to the original approach by Roth and Black which allow us to cope with the...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Conference paper
Source: Proceedings of 23rd International Conference of Machine Learning


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04_McAuley_Learning_high-order_MRF_priors_2006.pdf249.57 kBAdobe PDF    Request a copy

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