Deep learning based face analytics (28 resultados)
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Editorial: Springer, 2022
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Deep Learning-based Face Analytics
Ratha, Nalini K. (EDT); Patel, Vishal M. (EDT); Chellappa, Rama (EDT)
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Editorial: Springer, 2021
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Deep Learning-based Face Analytics
Ratha, Nalini K. (EDT); Patel, Vishal M. (EDT); Chellappa, Rama (EDT)
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Editorial: Springer, 2021
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Deep Learning-based Face Analytics
Ratha, Nalini K. (EDT); Patel, Vishal M. (EDT); Chellappa, Rama (EDT)
Idioma: Inglés
Editorial: Springer, 2021
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Deep Learning-based Face Analytics
Ratha, Nalini K. (EDT); Patel, Vishal M. (EDT); Chellappa, Rama (EDT)
Idioma: Inglés
Editorial: Springer, 2021
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Editorial: Springer, 2021
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Buch. Condición: 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 f…ace 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.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: 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 network…s 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.
Deep Learning-Based Face Analytics
Ratha, Nalini K (Edited by)/ Patel, Vishal M. (Edited by)/ Chellappa, Rama (Edited by)
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Editorial: Springer, 2021
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Hardcover. Condición: Brand New. 413 pages. 9.25x6.10x1.02 inches. In Stock.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Gebunden. Condición: 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 r…ecognition by humans and m.
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Editorial: Springer International Publishing, 2022
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: 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.
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Editorial: Springer International Publishing Aug 2022, 2022
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Taschenbuch. Condición: 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 convolutiona…l 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.
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Editorial: Springer International Publishing Aug 2021, 2021
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Buch. Condición: 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 neura…l 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.
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Editorial: Springer International Publishing, Springer International Publishing Aug 2021, 2021
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Buch. Condición: 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 ne…tworks 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.
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Editorial: Springer International Publishing, Springer Nature Switzerland Aug 2022, 2022
Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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Taschenbuch. Condición: 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 ne…ural 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.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 80 de 86. Libro 80 de 86 - Advances in Computer Vision and Pattern Recognition
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