Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 191,74
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 191,73
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 209,60
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 215,00
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 214,48
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 231,67
Quantità: 15 disponibili
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 196,27
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 280,43
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 413 pages. 9.25x6.10x1.02 inches. In Stock.
Condizione: New.
Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 150,28
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030746968 ISBN 13: 9783030746964
Da: moluna, Greven, Germania
EUR 162,51
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is First compiled source on deep learning applied to face image and video analyticsReflects on Bias in face analytic algorithms using AI methodsExplores on Deepfake attacks in face recognitionCompares Face recognition by humans and m.
Lingua: Inglese
Editore: Springer International Publishing Aug 2021, 2021
ISBN 10: 3030746968 ISBN 13: 9783030746964
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 192,59
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Aug 2021, 2021
ISBN 10: 3030746968 ISBN 13: 9783030746964
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 192,59
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 416 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 272,70
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 271,79
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.