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Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks.

, , , и . IJCNN, стр. 1-7. IEEE, (2015)

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Другие публикации лиц с тем же именем

Models of Intention for Human-Robot Interaction.. University of Nevada, Reno, USA, (2018)base-search.net (ftunivnevadair:oai:scholarworks.unr.edu:11714/3105).A biologically inspired approach to learning spatio-temporal patterns., , , и . ICDL-EPIROB, стр. 291-297. IEEE, (2015)Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity., , , и . AGI, том 8598 из Lecture Notes in Computer Science, стр. 254-257. Springer, (2014)Integrating Context into Intent Recognition Systems., , , , , и . ICINCO (2), стр. 315-320. INSTICC Press, (2010)Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks., , , и . IJCNN, стр. 1-7. IEEE, (2015)A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks., , , , и . Neural Processing Letters, 43 (2): 327-343 (2016)Grammar-based robot control., , и . AAMAS (2), стр. 1153-1154. IFAAMAS, (2009)A Visual Tracking Framework for Intent Recognition in Videos., , , , , и . ISVC (1), том 5358 из Lecture Notes in Computer Science, стр. 450-459. Springer, (2008)Understanding human intentions via hidden markov models in autonomous mobile robots., , , , , и . HRI, стр. 367-374. ACM, (2008)Microservice-based architecture for the NRDC., , , , , , и . INDIN, стр. 1659-1664. IEEE, (2015)