Human Face Recognition Using Third-Order Synthetic Neural Networks

Language: English

Published by Kluwer Academic Publishers, US, 1997

0792399579 / 9780792399575

Series: Book 151 of 260 - The Springer International Series in Engineering and Computer Science

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Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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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.

Seller Inventory # LU-9780792399575

Title
Human Face Recognition Using Third-Order Synthetic Neural Networks
Author
Okechukwu A. Uwechue, Abhijit S. Pandya
Publisher
Kluwer Academic Publishers, US
Publication year
1997
Condition
New
Binding
Hardback
Language
English
ISBN 10
0792399579
ISBN 13
9780792399575
Edition
1997 ed.
Series
Book 151 of 260: The Springer International Series in Engineering and Computer Science

Rarewaves.com UK

London, United Kingdom

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