Human Face Recognition Using Third-Order Synthetic Neural Networks (Paperback, Softcover reprint of the original 1st ed. 1997)

Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem. Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The Springer International Series in Engineering and Computer Science, 410
Release date:	October 2012
First published:	1997
Authors:	Okechukwu A. Uwechue • Abhijit S. Pandya
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	123
Edition:	Softcover reprint of the original 1st ed. 1997
ISBN-13:	978-1-4613-6832-8
Categories:	Books > Computing & IT > Computer software packages > Multimedia Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-4613-6832-4
Barcode:	9781461368328

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