9781461368328 - human face recognition using third-order synthetic neural networks di uwechue, okechukwu a. (7 risultati)
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Lingua: Inglese
Editore: Springer Nature B.V., 2012
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Taschenbuch. Condizione: Neu. Human Face Recognition Using Third-Order Synthetic Neural Networks | Okechukwu A. Uwechue (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | Springer Nature B.V. | EAN 9781461368328 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3,…69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.
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Lingua: Inglese
Editore: Springer Nature B.V., 2012
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. 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.
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Lingua: Inglese
Editore: Springer US, 2012
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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.
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2012
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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- Print on Demand
Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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EUR 139,47
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Lingua: Inglese
Editore: Springer US Okt 2012, 2012
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 144 pp. Englisch.
