Daniel Berio, Memo Akten, Frederic Fol Leymarie, Mick Grierson, Réjean Plamondon. Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks. In Marco Gillies, Kiona Niehaus, editors, Proceedings of the 4th International Conference on Movement Computing, London, United Kingdom, June 28-30, 2017. ACM, 2017. [doi]
@inproceedings{BerioALGP17,
title = {Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks},
author = {Daniel Berio and Memo Akten and Frederic Fol Leymarie and Mick Grierson and Réjean Plamondon},
year = {2017},
doi = {10.1145/3077981.3078049},
url = {http://doi.acm.org/10.1145/3077981.3078049},
researchr = {https://researchr.org/publication/BerioALGP17},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 4th International Conference on Movement Computing, London, United Kingdom, June 28-30, 2017},
editor = {Marco Gillies and Kiona Niehaus},
publisher = {ACM},
isbn = {978-1-4503-5209-3},
}