A probabilistic approach to learning a visually grounded language model through human-robot interaction

Haris Dindo, Daniele Zambuto. A probabilistic approach to learning a visually grounded language model through human-robot interaction. In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 18-22, 2010, Taipei, Taiwan. pages 790-796, IEEE, 2010. [doi]

@inproceedings{DindoZ10,
  title = {A probabilistic approach to learning a visually grounded language model through human-robot interaction},
  author = {Haris Dindo and Daniele Zambuto},
  year = {2010},
  doi = {10.1109/IROS.2010.5654440},
  url = {http://dx.doi.org/10.1109/IROS.2010.5654440},
  tags = {modeling language, language modeling, human-computer interaction, systematic-approach},
  researchr = {https://researchr.org/publication/DindoZ10},
  cites = {0},
  citedby = {0},
  pages = {790-796},
  booktitle = {2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 18-22, 2010, Taipei, Taiwan},
  publisher = {IEEE},
  isbn = {978-1-4244-6674-0},
}