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On the Use of Modeling 3D Reconstruction and 3D Printing Methods to Improve Simulation-Based Training in Cardiology., , , , , , , , , and 2 other author(s). ASONAM, page 543-550. ACM, (2023)Improved Ureteroscopies Care Through the Use of 3D Printing Techniques., , , , , , , , , and 1 other author(s). ASONAM, page 566-570. ACM, (2023)Dynamic texture-based scene classification using Deep Belief Networks., , , and . LOPAL, page 57:1-57:6. ACM, (2018)Learning combined features for automatic facial expression recognition., , , , and . Int. J. Knowl. Eng. Soft Data Paradigms, 6 (3/4): 153-169 (2019)3D Object Categorization in Cluttered Scene Using Deep Belief Network Architectures., , and . Nature-Inspired Computation in Data Mining and Machine Learning, volume 855 of Studies in Computational Intelligence, Springer, (2020)3D Object Categorization and Recognition based on Deep Belief Networks and Point Clouds., , , and . ICINCO (2), page 311-318. SciTePress, (2016)A novel incremental topological mapping using global visual features., and . IJCVR, 8 (1): 18-31 (2018)A fast object recognition and categorization technique for robot grasping using the visual bag of words., , , and . ICMCS, page 173-178. IEEE, (2016)VFH-Color and Deep Belief Network for 3D Point Cloud Recognition., , and . IbPRIA, volume 10255 of Lecture Notes in Computer Science, page 445-452. Springer, (2017)Generative vs. Discriminative Deep Belief Netwok for 3D Object Categorization., , , and . VISIGRAPP (5: VISAPP), page 98-107. SciTePress, (2017)