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Density Component Models for Learning Heirarchical structure in Natural Images.

Emphasis Week on Neurobiological Vision
February 09, 2005 09:00 AM to 10:00 AM
Speakers:
VMath - The Next Generation for Math Lectures on Streaming Video

Summary:

A new model to find higher order statistics in natural images. Different natural image density distributions have been characterized. Hierarchical generalization of standard ICA with additional independent density components. This model results in a higher degree of abstraction.

Keywords:

Neurobiological vision, efficient coding, natural images, image statistics, higher order statistics, PCA, ICA

Lecture #10827

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