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Learning a selectivity-invariance-selectivity feature extraction architecture for images | IEEE Conference Publication | IEEE Xplore

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


Abstract:

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 ...Show More

Abstract:

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 invariant 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.
Date of Conference: 11-15 November 2012
Date Added to IEEE Xplore: 14 February 2013
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Conference Location: Tsukuba, Japan

References

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