9783030325855 - Deep Biometrics Unsupervised and Semi-supervised Learning (9 results)

Condition: New. In.

Condition: New.

Taschenbuch. Condition: Neu. Deep Biometrics | Richard Jiang (u. a.) | Taschenbuch | viii | Englisch | 2021 | Springer | EAN 9783030325855 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condition: Brand New. 328 pages. 9.25x6.10x0.69 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it 'Deep Biometrics'. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications.Highlights the impact of deep learning over the field of biometrics in a wide area;Exploits the deeper and wider background of biometrics, suchas privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.;Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.

Condition: new. Questo è un articolo print on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it 'Deep Biometrics'. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications.Highlights the impact of deep learning over the field of biometrics in a wide area;Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.;Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics. 320 pp. Englisch.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Richard Jiang is currently a Senior Lecturer (Associate Professor) in the School of Computing & Communications at Lancaster University, UK. Previously, he was a senior lecturer (2013-2019) in the Department of Computer Science and Digital Technologi.

Condition: New. Print on Demand.