Isbn: 9780792399575 - human face recognition using third-order synthetic neural networks: 410 (16 risultati)

Lingua: Inglese
Editore: Springer Us, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | 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. …

Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Lingua: Inglese
Editore: Kluwer Academic Publishers, US, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Hardback. Condizione: New. 1997 ed. 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.…

Lingua: Inglese
Editore: Kluwer Academic Publishers, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. Explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. This book serves as a reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 138 pages, biography. BIC Classification: UG; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 9. Weight in Grams: 840. . 1997. Hardback. . . . .…

Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. pp. 144.

Lingua: Inglese
Editore: Springer US, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Gebunden. 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: Kluwer Academic Publishers, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. Explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. This book serves as a reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 138 pages, biography. BIC Classification: UG; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 9. Weight in Grams: 840. . 1997. Hardback. . . . . Books ship from the US and Ireland.…

Lingua: Inglese
Editore: Springer Us Jun 1997, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Buch. Condizione: 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.…

Lingua: Inglese
Editore: Kluwer Academic Publishers, US, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
- Rilegato
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Hardback. Condizione: New. 1997 ed. 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.…

Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
- Rilegato
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Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
- Rilegato
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Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. Print on Demand pp. 144 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Lingua: Inglese
Editore: Springer, 1997
Serie: Libro 151 di 260 - The Springer International Series in Engineering and Computer Science
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Condizione: New. PRINT ON DEMAND pp. 144.