9783319616568 - deep learning for biometrics (12 risultati)
Lingua: Inglese
Editore: Springer 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: SpringBooks, Berlin, GermaniaSpringBooks
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Hardcover. Condizione: As New. 1. Auflage. Unread, like new. Immediately dispatched from Germany.
Lingua: Inglese
Editore: Springer 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Lingua: Inglese
Editore: Springer 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 302.
Lingua: Inglese
Editore: Springer International Publishing 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 181,89
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of conv…olutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches forgesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.
Lingua: Inglese
Editore: Springer 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
- Rilegato
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
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- Print on Demand
Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first dedicated work on advances in biometric identification capabilities using deep learning techniquesCovers a broad range of deep learning integrated biometric techniques, including face, fingerprint…, iris, gait, template protection, and is.
Lingua: Inglese
Editore: Springer International Publishing Aug 2017 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 181,89
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on… the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning. 344 pp. Englisch.
Lingua: Inglese
Editore: Springer 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
- Rilegato
- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
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EUR 159,40
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Buch. Condizione: Neu. Deep Learning for Biometrics | Bir Bhanu (u. a.) | Buch | Advances in Computer Vision and Pattern Recognition | xxxi | Englisch | 2017 | Springer | EAN 9783319616568 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | An…bieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Aug 2017 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 181,89
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the… use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches forgesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch.
Lingua: Inglese
Editore: Springer 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
- Rilegato
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 259,61
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Condizione: New. Print on Demand pp. 302.
Lingua: Inglese
Editore: Springer 2017
Serie: Advances in Computer Vision and Pattern Recognition, Libro 64 di 86. Libro 64 di 86 - Advances in Computer Vision and Pattern Recognition
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 256,36
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Condizione: New. PRINT ON DEMAND pp. 302.
