Learning a selectivity--invariance--selectivity feature extraction architecture for images
Michael U. Gutmann, Aapo Hyvärinen · Edinburgh Research Explorer (University of Edinburgh) · 2012
Selectivity and invariance are thought to be important ingredients in biological or artificial visual systems. A fundamental problem is, however, to know what the visual system should be selective to and what to be nvariant to. Building a statistical model of images, we learn here a three-layer feature extraction system where the selectivity and invariance emerges from the properties of the images.