"Calligraphic Stylisation Learning with a Physiologically Plausible Model ..."

Daniel Berio et al. (2017)

> Home

Details and statistics

DOI: 10.1145/3077981.3078049

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/moco/BerioALGP17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/moco/BerioALGP17
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. MOCO 2017: 25:1-25:8

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.