Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions

Miguel Vasco, Francisco Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura. Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions. In Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor, editors, Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019. pages 2244-2246, International Foundation for Autonomous Agents and Multiagent Systems, 2019. [doi]

@inproceedings{VascoMMPI19,
  title = {Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions},
  author = {Miguel Vasco and Francisco Melo and David Martins de Matos and Ana Paiva and Tetsunari Inamura},
  year = {2019},
  url = {http://dl.acm.org/citation.cfm?id=3332072},
  researchr = {https://researchr.org/publication/VascoMMPI19},
  cites = {0},
  citedby = {0},
  pages = {2244-2246},
  booktitle = {Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019},
  editor = {Edith Elkind and Manuela Veloso and Noa Agmon and Matthew E. Taylor},
  publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
  isbn = {978-1-4503-6309-9},
}