Learning Inhomogeneous Gibbs Models. Ce Liu firstname.lastname@example.org. How to Describe the Virtual World. Histogram. Histogram: marginal distribution of image variances Non Gaussian distributed. Texture Synthesis (Heeger et al, 95). Image decomposition by steerable filters Histogram matching.
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A framework to learn arbitrary high-dimensional distributions
The approximate information gain for a new feature is
and the optimal energy function for this feature is
Mixture of two Gaussians
Observed face examples
Synthesized face samples without any features
Synthesized with 10 features
Synthesized with 20 features
Synthesized with 30 features
Synthesized with 50 features