Sinossi
"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics.
The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering.
Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.
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Pattern Recognition, Machine Intelligence and Biometrics
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Pattern Recognition, Machine Intelligence and Biometrics
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Springer Berlin Heidelberg Dez 2018, 2018
ISBN 10: 3662585456
ISBN 13: 9783662585450
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Pattern Recognition, Machine Intelligence and Biometrics' covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics.The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering.Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei. 908 pp. Englisch. Codice articolo 9783662585450
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Pattern Recognition, Machine Intelligence and Biometrics
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Taschenbuch. Condizione: Neu. Pattern Recognition, Machine Intelligence and Biometrics | Patrick S. P. Wang | Taschenbuch | xxxix | Englisch | 2018 | Springer | EAN 9783662585450 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 115113392
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Pattern Recognition, Machine Intelligence and Biometrics
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Springer Berlin Heidelberg, 2018
ISBN 10: 3662585456
ISBN 13: 9783662585450
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Pattern Recognition, Machine Intelligence and Biometrics
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Pattern Recognition, Machine Intelligence and Biometrics' covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics.The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering.Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 908 pp. Englisch. Codice articolo 9783662585450
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Pattern Recognition, Machine Intelligence and Biometrics
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ISBN 13: 9783662585450
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Pattern Recognition, Machine Intelligence and Biometrics' covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics.The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering.Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei. Codice articolo 9783662585450
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Pattern Recognition, Machine Intelligence and Biometrics
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Condizione: New. Print on Demand pp. 905. Codice articolo 384136084
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