Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data

Baluja, Shumeet

Dec-31-1999–Neural Information Processing Systems

This paper presents probabilistic modeling methods to solve the problem of discriminating betweenfive facial orientations with very little labeled data.

artificial intelligence, dependency, machine learning, (12 more...)

Neural Information Processing Systems

Dec-31-1999

Conferences PDF

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Learning Graphical Models
    - Directed Networks > Bayesian Learning (1.00)
  - Representation & Reasoning > Uncertainty (1.00)

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Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data

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