"Using convolutional neural networks for fingerspelling sign recognition in ..."

Douglas F. L. Lima et al. (2019)

> Home

Details and statistics

DOI: 10.1145/3323503.3360306

access: closed

type: Conference or Workshop Paper

metadata version: 2019-10-11

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/webmedia/LimaNSAR19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/webmedia/LimaNSAR19
Douglas F. L. Lima, Armando S. Salvador Neto, Ewerton N. Santos, Tiago Maritan U. Araújo, Thaís Gaudencio do Rêgo:
Using convolutional neural networks for fingerspelling sign recognition in brazilian sign language. WebMedia 2019: 109-115

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.