Learning of visual modules from examples: A framework for understanding adaptive visual performance-Reference-Cited by-同舟云学术

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Learning of visual modules from examples: A framework for understanding adaptive visual performance

Published:1992-07 Issue:1 Volume:56 Page:22-30
ISSN:1049-9660
Container-title:CVGIP: Image Understanding
language:en
Short-container-title:CVGIP: Image Understanding

Author:

Poggio Tomaso,Edelman Shimon,Fahle Manfred

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference27 articles.

1. Reconstructing the visual image in space and time;Barlow;Nature,1979

2. A Non-deterministic Minimization Algorithm;Caprile,1990

3. B. Caprile, F. Girosi, and T. Poggio, in preparation.

4. Spatial frequency model for hyperacuity;Carlson;J. Opt. Soc. Am. A,1985

5. An information-processing approach to understanding the visual cortex;Crick,1980

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1. Scotopic and Photopic Conventional Visual Acuity and Hyperacuity – Binocular Summation;Translational Vision Science & Technology;2024-04-19

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3. Determination of scotopic and photopic conventional visual acuity and hyperacuity;Graefe's Archive for Clinical and Experimental Ophthalmology;2019-11-21

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