FP-nets as novel deep networks inspired by vision

Author:

Grüning Philipp12,Martinetz Thomas13,Barth Erhardt14

Affiliation:

1. Institute for Neuro- and Bioinformatics, University of Lübeck, Lübeck, Germany

2. gruening@inb.uni-luebeck.dehttps://www.inb.uni-luebeck.de/mitarbeiter/mitarbeiter/wissenschaftliche-mitarbeiter/philipp-gruening.html

3. martinet@inb.uni-luebeck.dehttps://www.inb.uni-luebeck.de/mitarbeiter/mitarbeiter/professoren/107.html

4. barth@inb.uni-luebeck.dehttps://www.inb.uni-luebeck.de/mitarbeiter/mitarbeiter/professoren/erhardt-barth.html

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Sensory Systems,Ophthalmology

Reference43 articles.

1. Possible principles underlying the transformation of sensory messages;Barlow;Sensory Communication,,1961

2. A geometric framework for nonlinear visual coding;Barth;Optics Express,,2000

3. The openCV library.;Bradski;Dr. Dobb's Journal: Software Tools for the Professional Programmer,,2000

4. Capacity and trainability in recurrent neural networks;Collins;Stat,,2016

5. Fp-nets for blind image quality assessment;Grüning;Journal of Perceptual Imaging,,2021b

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