Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science, 410)
Uwechue, Okechukwu A.; Pandya, Abhijit S.
ISBN 10: 0792399579 ISBN 13: 9780792399575
Editore: Springer, 1997
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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.
Contenuti: Preface. List of Illustrations. List of Tables. 1. Introduction. 2. Face Recognition. 3. Implementation of Invariances. 4. Simple Pattern Recognition. 5. Facial Pattern Recognition. 6. Network Training. 7. Conclusions and Contributions. 8. Future Work. Index.
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Titolo: Human Face Recognition Using Third-Order ...
Casa editrice: Springer
Data di pubblicazione: 1997
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Human face recognition using third-order synthetic neural networks. The international series in engineering and computer science 410.
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Boston, Kluwer Academic Publisher [1997]., 1997
ISBN 10: 0792399579
ISBN 13: 9780792399575
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C 1039: (1997) 9780792399575 Sprache: Englisch Gewicht in Gramm: 550. Codice articolo 2504575
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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. Codice articolo 3035359/3
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Human Face Recognition Using Third-Order Synthetic Neural Networks
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Kluwer Academic Publishers, US, 1997
ISBN 10: 0792399579
ISBN 13: 9780792399575
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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. Codice articolo LU-9780792399575
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