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Learning Abstract Classes using Deep Learning., , and . BICT, page 524-528. ICST/ACM, (2015)Probabilistic Object Models for Pose Estimation in 2D Images., and . DAGM-Symposium, volume 6835 of Lecture Notes in Computer Science, page 336-345. Springer, (2011)Visual task outcome verification using deep learning., , and . IROS, page 4821-4827. IEEE, (2017)Combining active learning and reactive control for robot grasping., , , and . Robotics Auton. Syst., 58 (9): 1105-1116 (2010)Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning., and . ICRA, page 2627-2633. IEEE, (2015)Feature Learning for Recognition with Bayesian Networks., and . ICPR, page 1017-1020. IEEE Computer Society, (2000)Interactive learning of mappings from visual percepts to actions., and . ICML, volume 119 of ACM International Conference Proceeding Series, page 393-400. ACM, (2005)Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions., and . ECML, volume 4212 of Lecture Notes in Computer Science, page 222-233. Springer, (2006)ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture., , , and . IJCNN, page 1-8. IEEE, (2022)Biomedical Image Classification with Random Subwindows and Decision Trees., , , and . CVBIA, volume 3765 of Lecture Notes in Computer Science, page 220-229. Springer, (2005)