Human Face Recognition Using Third-Order Synthetic Neural Networks

Language: English

Published by Springer Us, 2012

1461368324 / 9781461368328

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

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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 # 9781461368328

Title
Human Face Recognition Using Third-Order Synthetic Neural Networks
Author
Okechukwu A Uwechue
Publisher
Springer Us
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461368324
ISBN 13
9781461368328
Item weight
230 grams
Dimensions
235x155x9 mm
Series
Book 151 of 260: The Springer International Series in Engineering and Computer Science

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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