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Proceedings Paper

Wavelets for training a neural network to recognize objects
Author(s): John F. Pedersen; Edward B. Saff; Kevin S. Schweiker
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Paper Abstract

A technique is developed for classifying different objects in natural imagery by employing a wavelet transform and training a neural network on certain of the wavelet transform coefficients. The effectiveness of different choices of coefficients and neural network architectures is analyzed.

Paper Details

Date Published: 15 October 1993
PDF: 11 pages
Proc. SPIE 1960, Automatic Object Recognition III, (15 October 1993); doi: 10.1117/12.160597
Show Author Affiliations
John F. Pedersen, Univ. of South Florida (United States)
Edward B. Saff, Univ. of South Florida (United States)
Kevin S. Schweiker, Hercules Defense Electronic Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 1960:
Automatic Object Recognition III
Firooz A. Sadjadi, Editor(s)

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