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Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior.

, , , and . IEEE Trans. Image Process., 17 (10): 1795-1805 (2008)

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Large Scale Multikernel RVM for Object Detection., , and . SETN, volume 3955 of Lecture Notes in Computer Science, page 389-399. Springer, (2006)Incremental Relevance Vector Machine with Kernel Learning., , and . SETN, volume 5138 of Lecture Notes in Computer Science, page 301-312. Springer, (2008)Global sampling of image edges., , and . ICIP, page 4712-4716. IEEE, (2014)Efficiently Explaining Decisions of Probabilistic RBF Classification Networks., , , , and . ICANNGA (1), volume 6593 of Lecture Notes in Computer Science, page 169-179. Springer, (2011)The mixtures of Student's t-distributions as a robust framework for rigid registration., , and . Image Vis. Comput., 27 (9): 1285-1294 (2009)A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network., and . Neural Processing Letters, 4 (3): 167-172 (1996)Training Reinforcement Neurocontrollers Using the Polytope Algorithm., and . Neural Processing Letters, 9 (2): 119-127 (1999)Document clustering using synthetic cluster prototypes., and . Data Knowl. Eng., 70 (3): 284-306 (2011)Improving Text Stream Clustering using Term Burstiness and Co-burstiness., , and . SETN, page 16:1-16:9. ACM, (2016)A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures., , and . IEEE Trans. Image Processing, 19 (9): 2278-2289 (2010)