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Learning to see

IEEE SpectrumPublished 1 May 1996
Tomaso Poggio, David Beymer
Citations333
SJR quartileQ3
SJR score0.25

TL;DR

In an approach to visual processing known as learning from examples, computational neural networks and physiological studies suggest how neurons and machines adapt to novel images on the basis of past experience.

Abstract

The mind cannot make sense of the visual world out of raw image data alone. In an approach to visual processing known as learning from examples, computational neural networks and physiological studies suggest how neurons and machines adapt to novel images on the basis of past experience.

Keywords

NeuroscienceEngineering