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Anomaly Detection in IDSs by means of unsupervised greedy learning of finite mixture models.. Soft Comput., 22 (10): 3357-3372 (2018)An Algorithm for the Least Square-Fitting of Ellipses., , , , and . ICTAI (2), page 351-353. IEEE Computer Society, (2010)978-0-7695-4263-8.A Practical Method for Self-adapting Gaussian Expectation Maximization., , and . ICINCO (1), page 36-44. INSTICC Press, (2010)Unsupervised Greedy Learning of Finite Mixture Models., , , , and . ICTAI (2), page 219-224. IEEE Computer Society, (2010)978-0-7695-4263-8.Simulation of small humanoid robots for soccer domain., , , and . J. Frankl. Inst., 346 (5): 500-519 (2009)Fast estimation of Gaussian mixture models for image segmentation., , , , and . Mach. Vis. Appl., 23 (4): 773-789 (2012)Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach., , and . ICINCO (Selected Papers), volume 89 of Lecture Notes in Electrical Engineering, page 105-120. (2010)Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model., , and . ICIAR (1), volume 6111 of Lecture Notes in Computer Science, page 105-116. Springer, (2010)Monocular Vs Binocular 3D Real-time Ball Tracking from 2D Ellipses., , , and . ICINCO (2), page 67-73. SciTePress, (2011)Learning Anomalies in IDSs by Means of Multivariate Finite Mixture Models.. AINA, page 251-258. IEEE Computer Society, (2013)