Learning to Estimate Scenes from Images

Freeman, William T., Pasztor, Egon C.

Dec-31-1999–Neural Information Processing Systems

We seek the scene interpretation that best explains image data. For example, we may want to infer the projected velocities (scene) which best explain two consecutive image frames (image).

artificial intelligence, bayesian inference, machine learning, (17 more...)

Neural Information Processing Systems

Dec-31-1999

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Country:
- Asia > Middle East
  - Jordan (0.04)
- North America > United States
  - California
    - Monterey County > Pacific Grove (0.04)
    - Santa Barbara County > Santa Barbara (0.04)
  - Massachusetts > Middlesex County
    - Cambridge (0.05)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning > Learning Graphical Models
      - Directed Networks > Bayesian Learning (0.69)
    - Representation & Reasoning > Uncertainty
      - Bayesian Inference (1.00)
    - Vision (1.00)
  - Sensing and Signal Processing > Image Processing (1.00)

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