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Synopsis
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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- ÉditeurSpringer
- Date d'édition1997
- ISBN 10 0792399579
- ISBN 13 9780792399575
- ReliureRelié
- Langueanglais
- Nombre de pages123
- Coordonnées du fabricantnon disponible
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Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science, 410)
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Springer, 1997
ISBN 10 : 0792399579
ISBN 13 : 9780792399575
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Etat : Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains. N° de réf. du vendeur L10A-03929
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Human Face Recognition Using Third-Order Synthetic Neural Networks
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SPRINGER NATURE, 1997
ISBN 10 : 0792399579
ISBN 13 : 9780792399575
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Etat : Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. | Seiten: 123 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 3035359/3
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Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science, 410)
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Human Face Recognition Using Third-Order Synthetic Neural Networks
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Gebunden. Etat : New. 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-ord. N° de réf. du vendeur 458444096
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Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science, 410)
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Human Face Recognition Using Third-Order Synthetic Neural Networks
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Springer Us Jun 1997, 1997
ISBN 10 : 0792399579
ISBN 13 : 9780792399575
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Buch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9780792399575
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Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science (410))
Edité par
Springer, 1997
ISBN 10 : 0792399579
ISBN 13 : 9780792399575
Ancien ou d'occasion
Couverture rigide
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Hardcover. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA77307923995796
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