Paper
15 October 1993 Wavelets for training a neural network to recognize objects
John F. Pedersen, Edward B. Saff, Kevin S. Schweiker
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John F. Pedersen, Edward B. Saff, and Kevin S. Schweiker "Wavelets for training a neural network to recognize objects", Proc. SPIE 1960, Automatic Object Recognition III, (15 October 1993); https://doi.org/10.1117/12.160597
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Wavelets

Neural networks

Object recognition

Wavelet transforms

Pattern recognition

Detection and tracking algorithms

Evolutionary algorithms

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