Features as Sufficient Statistics

Geiger, Davi, Rudra, Archisman, Maloney, Laurance T.

Neural Information Processing Systems 

An image is often represented by a set of detected features. We get an enormous compression by representing images in this way. Furthermore, we get a representation which is little affected by small amounts of noise in the image. However, features are typically chosen in an ad hoc manner.

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