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Proceedings Paper

Geometry and dimensionality reduction of feature spaces in primary visual cortex
Author(s): Davide Barbieri
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Paper Abstract

Some geometric properties of the wavelet analysis performed by visual neurons are discussed and compared with experimental data. In particular, several relationships between the cortical morphologies and the parametric dependencies of extracted features are formalized and considered from a harmonic analysis point of view.

Paper Details

Date Published: 14 September 2015
PDF: 16 pages
Proc. SPIE 9597, Wavelets and Sparsity XVI, 95970J (14 September 2015); doi: 10.1117/12.2187026
Show Author Affiliations
Davide Barbieri, Univ. Autonoma de Madrid (Spain)

Published in SPIE Proceedings Vol. 9597:
Wavelets and Sparsity XVI
Manos Papadakis; Vivek K. Goyal; Dimitri Van De Ville, Editor(s)

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