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Hierarchical model of natural images and the origin of scale invariance

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Publication:5170998
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DOI10.1073/pnas.1222618110zbMath1292.91152OpenAlexW2056890019WikidataQ36637338 ScholiaQ36637338MaRDI QIDQ5170998

Terrence J. Sejnowski, Saeed Saremi

Publication date: 25 July 2014

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.1222618110



Mathematics Subject Classification ID

Machine vision and scene understanding (68T45) Psychophysics and psychophysiology; perception (91E30)


Related Items (3)

Optimal prediction in the retina and natural motion statistics ⋮ Why does deep and cheap learning work so well? ⋮ Neural network coding of natural images with applications to pure mathematics



Cites Work

  • Reducing the Dimensionality of Data with Neural Networks
  • Learning Deep Architectures for AI


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