Learning a selectivity--invariance--selectivity feature extraction architecture for images

M.U. Gutmann, A. Hyvärinen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publicationPattern Recognition (ICPR), 2012 21st International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages918-921
Number of pages4
Publication statusPublished - 2012

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