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Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection., , , and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 942-951. Springer, (2009)An Incremental Bayesian Approach for Training Multilayer Perceptrons., and . ICANN (1), volume 6352 of Lecture Notes in Computer Science, page 87-96. Springer, (2010)Large Scale Multikernel RVM for Object Detection., , and . SETN, volume 3955 of Lecture Notes in Computer Science, page 389-399. Springer, (2006)Efficiently Explaining Decisions of Probabilistic RBF Classification Networks., , , , and . ICANNGA (1), volume 6593 of Lecture Notes in Computer Science, page 169-179. Springer, (2011)Incremental Relevance Vector Machine with Kernel Learning., , and . SETN, volume 5138 of Lecture Notes in Computer Science, page 301-312. Springer, (2008)The mixtures of Student's t-distributions as a robust framework for rigid registration., , and . Image Vis. Comput., 27 (9): 1285-1294 (2009)Probabilistic Models Based on the Pi-Sigmoid Distribution., and . ANNPR, volume 5064 of Lecture Notes in Computer Science, page 36-43. Springer, (2008)Document clustering using synthetic cluster prototypes., and . Data Knowl. Eng., 70 (3): 284-306 (2011)The global kernel k-means clustering algorithm., and . IJCNN, page 1977-1984. IEEE, (2008)A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network., and . Neural Processing Letters, 4 (3): 167-172 (1996)