Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: Books From California, Simi Valley, CA, U.S.A.
Hardcover. Condizione: Very Good.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801837 ISBN 13: 9781799801832
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801837 ISBN 13: 9781799801832
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 159,47
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 166,66
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Lingua: Inglese
Editore: Engineering Science Reference 2019-10-04, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: Chiron Media, Wallingford, Regno Unito
EUR 164,52
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801837 ISBN 13: 9781799801832
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801837 ISBN 13: 9781799801832
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 180,08
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 176,68
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801837 ISBN 13: 9781799801832
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 181,93
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 190,98
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Aggiungi al carrelloCondizione: New. 2019. Illustrated. Hardcover. . . . . .
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 227,40
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Aggiungi al carrelloPaperback. Condizione: New. Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: Buchpark, Trebbin, Germania
EUR 120,65
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: moluna, Greven, Germania
EUR 180,03
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Aggiungi al carrelloCondizione: New. Presents research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. The book highlights a wide range of topics such as video segmentation, object recognition, and 3D modelling.
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 238,11
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Aggiungi al carrelloHardback. Condizione: New.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2019. Illustrated. Hardcover. . . . . . Books ship from the US and Ireland.
Da: Rarewaves.com UK, London, Regno Unito
EUR 216,66
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Aggiungi al carrelloPaperback. Condizione: New. Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.
Da: Rarewaves.com UK, London, Regno Unito
EUR 226,93
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 166,89
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 171,85
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: Revaluation Books, Exeter, Regno Unito
EUR 203,95
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Aggiungi al carrelloHardcover. Condizione: Brand New. 293 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801837 ISBN 13: 9781799801832
Da: moluna, Greven, Germania
EUR 177,69
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presemts innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. The book features coverage of a wide range of topics, including video segmentation, object recognitio.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 186,59
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.
Lingua: Inglese
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801837 ISBN 13: 9781799801832
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 220,17
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book examines the latest advances and trends in computer vision and machine learning algorithms for various applications'.