The g Factor: Relating Distributions on Features to Distributions on Images

Coughlan, James M., Yuille, Alan L.

Dec-31-2002–Neural Information Processing Systems

The most common approach is to learn histograms of filter responses or, equivalently, tolearn probability distributions on features (see right panel of figure (1)). See, for example, [6], [5], [4].

approximation, artificial intelligence, machine learning, (15 more...)

Neural Information Processing Systems

Dec-31-2002

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  - Artificial Intelligence
    - Machine Learning > Learning Graphical Models (0.48)
    - Representation & Reasoning (0.73)
    - Vision (1.00)
  - Sensing and Signal Processing > Image Processing (0.96)

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