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Residual Activity in the Neurons Allows SOMs to Learn Temporal Order.

, and . ICANN (1), volume 3696 of Lecture Notes in Computer Science, page 379-384. Springer, (2005)

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Defects Detection in Continuous Manufacturing by Means of Convolutional Neural Networks., and . IWANN (2), volume 2687 of Lecture Notes in Computer Science, page 528-535. Springer, (2003)FuSeOn: A Low-Cost Portable Multi Sensor Fusion Research Testbed for Robotics., , and . ROBOT (1), volume 417 of Advances in Intelligent Systems and Computing, page 57-68. Springer, (2015)Cross-Entropy Optimization for Scaling Factors of a Fuzzy Controller: A See-and-Avoid Approach for Unmanned Aerial Systems., , , and . Journal of Intelligent and Robotic Systems, 69 (1-4): 189-205 (2013)Unmanned aerial vehicles UAVs attitude, height, motion estimation and control using visual systems., , , , and . Auton. Robots, 29 (1): 17-34 (2010)Detection and Tracking of External Features in an Urban Environment Using an Autonomous Helicopter., , , and . ICRA, page 3972-3977. IEEE, (2005)COLIBRI: A vision-Guided UAV for Surveillance and Visual Inspection., , , and . ICRA, page 2760-2761. IEEE, (2007)3D object following based on visual information for Unmanned Aerial Vehicles., , , and . LARC, page 1-7. IEEE, (2011)InsPulp-I(c) : An on-line visual inspection system for the pulp industry., , and . Comput. Ind., 56 (8-9): 935-942 (2005)On-board and Ground Visual Pose Estimation Techniques for UAV Control., , , and . Journal of Intelligent and Robotic Systems, 61 (1-4): 301-320 (2011)Vision Based Fuzzy Control Approaches for Unmanned Aerial Vehicles., and . IFSA-EUSFLAT, Atlantis Press, (2015)