Labels2016
CVII-STENT 2015
LABELS: Large-scale Annotation of Biomedical data and Expert Label Synthesis
News
- March 19, 2016: Website is up
Scientific Topics
• Active learning
• Semi-supervised learning
• Reinforcement learning
• Domain adaption and transfer learning
• Crowd-sourcing annotations and fusion of labels from different sources
• Data augmentation
• Modelling of label uncertainty
• Visualization and human-computer interaction
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Important Dates
- Workshop:
- Pre-registration:
- Full paper submission deadline: June 2016.
- Notification of acceptance: July 2016.
- Camera-ready submission: August 2016.
Program
T.B.A.
Proceedings
T.B.A.
Contact:
labels@mailnavab.in.tum.de