Items related to Deep Learning-Based Face Analytics (Advances in Computer...
Deep Learning-Based Face Analytics (Advances in Computer Vision and Pattern Recognition) - Softcover
- PublisherSpringer
- Publication date2022
- ISBN 10 3030746992
- ISBN 13 9783030746995
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages416
- EditorRatha Nalini K, Patel Vishal M., Chellappa Rama
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Deep Learning-Based Face Analytics (Advances in Computer Vision and Pattern Recognition)
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Deep Learning-Based Face Analytics (Advances in Computer Vision and Pattern Recognition)
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Deep Learning-Based Face Analytics
Published by
Springer International Publishing, 2022
ISBN 10: 3030746992
ISBN 13: 9783030746995
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Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorNalini K. Ratha is Empire Innovation professor in the Department of Computer Science and Engineering at University at Buffalo (New York). Before joining UB, he was Research Staff Member at IBM T. J. Watson Re. Seller Inventory # 668444590
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Deep Learning-Based Face Analytics
Published by
Springer International Publishing Aug 2022, 2022
ISBN 10: 3030746992
ISBN 13: 9783030746995
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field.Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition.This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra. 416 pp. Englisch. Seller Inventory # 9783030746995
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Deep Learning-Based Face Analytics
Published by
Springer International Publishing, Springer International Publishing, 2022
ISBN 10: 3030746992
ISBN 13: 9783030746995
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field.Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition.This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra. Seller Inventory # 9783030746995
Quantity: 1 available