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Variational Bayesian Blind Image Deconvolution with Student-T Priors.

, , и . ICIP (1), стр. 109-112. IEEE, (2007)

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Dimitris Mislis

Dimitris Kazarnovskis

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Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning., , и . ICANN (1), том 5768 из Lecture Notes in Computer Science, стр. 50-59. Springer, (2009)Variational Bayesian Blind Image Deconvolution with Student-T Priors., , и . ICIP (1), стр. 109-112. IEEE, (2007)Large Scale Multikernel Relevance Vector Machine for Object Detection., , и . Int. J. Artif. Intell. Tools, 16 (6): 967-979 (2007)Transductive Reliability Estimation for Kernel Based Classifiers., , и . IDA, том 4723 из Lecture Notes in Computer Science, стр. 37-47. Springer, (2007)Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function., , и . EUSIPCO, стр. 1-5. IEEE, (2006)Sparse Bayesian Modeling With Adaptive Kernel Learning., , и . IEEE Trans. Neural Networks, 20 (6): 926-937 (2009)Robust variational bayesian kernel based blind image deconvolution., , и . VISAPP (Special Sessions), стр. 143-150. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2007)Large Scale Multikernel RVM for Object Detection., , и . SETN, том 3955 из Lecture Notes in Computer Science, стр. 389-399. Springer, (2006)An Incremental Bayesian Approach for Training Multilayer Perceptrons., и . ICANN (1), том 6352 из Lecture Notes in Computer Science, стр. 87-96. Springer, (2010)Incremental Relevance Vector Machine with Kernel Learning., , и . SETN, том 5138 из Lecture Notes in Computer Science, стр. 301-312. Springer, (2008)