"Learning attentional policies for tracking and recognition in video with ..."

Loris Bazzani et al. (2011)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2019-04-03

- view
  - electronic edition @ icml.cc (open access)
- export record
  dblp key:
  - conf/icml/BazzaniFLMT11
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/BazzaniFLMT11
Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting:
Learning attentional policies for tracking and recognition in video with deep networks. ICML 2011: 937-944

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.