Human Face Recognition Using Third-Order Synthetic Neural Networks: 410 (The Springer International Series in Engineering and Computer Science, 410) - Tapa dura

Libro 151 de 260: The Springer International Series in Engineering and Computer Science

Pandya, Abhijit S.; Uwechue, Okechukwu A.

 
9780792399575: Human Face Recognition Using Third-Order Synthetic Neural Networks: 410 (The Springer International Series in Engineering and Computer Science, 410)
Tapa dura
ISBN 10: 0792399579 ISBN 13: 9780792399575
Editorial: Springer, 1997

Sinopsis

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.

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Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
1997
Idioma
Inglés
ISBN 10 
0792399579
ISBN 13 
9780792399575
Encuadernación
Tapa dura
Número de páginas
144
Contacto del fabricante
Springer-Verlag GmbH
customerservice@springernature.com

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Heidelberg
Baden-Württemberg
69121
Alemania

Otras ediciones populares con el mismo título

9781461368328: Human Face Recognition Using Third-Order Synthetic Neural Networks: 410 (The Springer International Series in Engineering and Computer Science, 410)

Edición Destacada

ISBN 10:  1461368324 ISBN 13:  9781461368328
Editorial: Springer, 1997
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