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Vatsa Mayank (59 results)
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Deep Learning in Biometrics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Deep Learning in Biometrics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Deep Learning in Biometrics
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032653108 ISBN 13: 9781032653105
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New.
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Condition: New. Mayank Vatsa is an Associate Professor at IIIT New Delhi. He has authored more than 150 publications dealing with biometrics, image processing, machine learning and information fusion. He is a Senior Member of IEEE.
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Condition: As New. Unread book in perfect condition.
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Domain Adaptation for Visual Understanding
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 93.18
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Machine Intelligence and Signal Processing (Advances in Intelligent Systems and Computing, 390)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
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Domain Adaptation for Visual Understanding
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.60
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New.
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Domain Adaptation for Visual Understanding
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Domain Adaptation for Visual Understanding
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: As New. Unread book in perfect condition.
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Deep Learning In Biometrics
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1138578231 ISBN 13: 9781138578234
Condition: New.
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Deep Learning in Biometrics
Language: English
Published by Taylor & Francis Ltd Okt 2023, 2023
ISBN 10: 1032653108 ISBN 13: 9781032653105
Taschenbuch. Condition: Neu. Neuware - This book will cover all the topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoenders. The focus will be on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints.
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Condition: New.
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Deep Learning In Biometrics
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1138578231 ISBN 13: 9781138578234
Condition: New.
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Domain Adaptation for Visual Understanding
Language: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 3030306739 ISBN 13: 9783030306731
Paperback. Condition: Brand New. 154 pages. 9.25x6.10x0.37 inches. In Stock.
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Hardcover. Condition: Brand New. 156 pages. 9.25x6.10x0.59 inches. In Stock.
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Deep Learning In Biometrics
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1138578231 ISBN 13: 9781138578234
Condition: New.
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Taschenbuch. Condition: Neu. Domain Adaptation for Visual Understanding | Richa Singh (u. a.) | Taschenbuch | x | Englisch | 2021 | Springer | EAN 9783030306731 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Domain Adaptation for Visual Understanding
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030306739 ISBN 13: 9783030306731
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition.Topics and features: reviews the domain adaptation-based machine learning algorithms available for visual understanding, and provides a deep metric learning approach; introduces a novel unsupervised method for image-to-image translation, and a video segment retrieval model that utilizes ensemble learning; proposes a unique way to determine which dataset is most useful in the base training, in order to improve the transferability of deep neural networks; describes a quantitative method for estimating the discrepancy between the source and target data to enhance image classification performance; presentsa technique for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an original interpolation-based approach to address the issue of tracking model degradation in correlation filter-based methods.This authoritative work will serve as an invaluable reference for researchers and practitioners interested in machine learning-based visual recognition and understanding.
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Taschenbuch. Condition: Neu. Machine Intelligence and Signal Processing | Richa Singh (u. a.) | Taschenbuch | x | Englisch | 2015 | Springer | EAN 9788132226246 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Domain Adaptation for Visual Understanding
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030306704 ISBN 13: 9783030306700
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition.Topics and features: reviews the domain adaptation-based machine learning algorithms available for visual understanding, and provides a deep metric learning approach; introduces a novel unsupervised method for image-to-image translation, and a video segment retrieval model that utilizes ensemble learning; proposes a unique way to determine which dataset is most useful in the base training, in order to improve the transferability of deep neural networks; describes a quantitative method for estimating the discrepancy between the source and target data to enhance image classification performance; presentsa technique for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an original interpolation-based approach to address the issue of tracking model degradation in correlation filter-based methods.This authoritative work will serve as an invaluable reference for researchers and practitioners interested in machine learning-based visual recognition and understanding.
