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Machine Learning Refined
Lingua: Inglese
Editore: Cambridge University Press, 2016
ISBN 10: 1107123526 ISBN 13: 9781107123526
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2016
ISBN 10: 1107123526 ISBN 13: 9781107123526
Da: Gulf Coast Books, Cypress, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
hardcover. Condizione: Good.
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2016
ISBN 10: 1107123526 ISBN 13: 9781107123526
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2016
ISBN 10: 1107123526 ISBN 13: 9781107123526
hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2016
ISBN 10: 1107123526 ISBN 13: 9781107123526
hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
-
Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2016
ISBN 10: 1107123526 ISBN 13: 9781107123526
Da: Books From California, Simi Valley, CA, U.S.A.
Valutazione del venditore 4 su 5 stelle
hardcover. Condizione: Very Good.
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2016
ISBN 10: 1107123526 ISBN 13: 9781107123526
Da: Books From California, Simi Valley, CA, U.S.A.
Valutazione del venditore 4 su 5 stelle
hardcover. Condizione: Fine.
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Digital Image Restoration
Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1991
ISBN 10: 3540532927 ISBN 13: 9783540532927
AffareEUR 19,79
Spedizione EUR 20,50
Spedito da Francia a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Salissures sur la tranche. Edition 1991. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Stains on the edge. Edition 1991. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press (edition 2), 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: BooksRun, Philadelphia, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: Textbooks_Source, Columbia, MO, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2016
ISBN 10: 1107123526 ISBN 13: 9781107123526
Da: Labyrinth Books, Princeton, NJ, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Very Good.
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Digital Image Restoration
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 52,79
Spedizione EUR 2,29
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Digital Image Restoration
Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1991
ISBN 10: 3540532927 ISBN 13: 9783540532927
AffareEUR 33,29
Spedizione EUR 20,50
Spedito da Francia a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1991. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 1991. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Fundamentals of Machine Learning and Deep Learning in Medicine
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 53,04
Spedizione EUR 13,83
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Machine Learning Refined : Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: AMM Books, Gillingham, KENT, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 58,31
Spedizione EUR 13,84
Spedito da Regno Unito a U.S.A.Quantità: 16 disponibili
Aggiungi al carrelloHardcover. Condizione: New. In stock ready to dispatch from the UK.
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Digital Image Restoration (Springer Series in Information Sciences)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 58,63
Spedizione EUR 13,83
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Digital Image Restoration (Springer Series in Information Sciences)
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 56,71
Spedizione EUR 17,88
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
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Machine Learning Refined : Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Digital Image Restoration
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 58,61
Spedizione EUR 17,32
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
-
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 85,80
Spedizione gratuita
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Machine Learning Refined : Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 72,13
Spedizione EUR 17,32
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 76,83
Spedizione EUR 13,83
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Machine Learning Refined: Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press 2020-01-09, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 73,63
Spedizione EUR 17,88
Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
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Machine Learning Refined
Lingua: Inglese
Editore: Cambridge University Press, GB, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Hardback. Condizione: New. With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
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Machine Learning Refined : Foundations, Algorithms, and Applications
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108480721 ISBN 13: 9781108480727
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 81,38
Spedizione EUR 17,32
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Super Resolution of Images and Video
Lingua: Inglese
Editore: Springer International Publishing, 2007
ISBN 10: 3031011155 ISBN 13: 9783031011153
EUR 35,30
Spedizione EUR 61,49
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the super resolution of images and video. The authors' use of the term super resolution (SR) is used to describe the process of obtaining a high resolution (HR) image, or a sequence of HR images, from a set of low resolution (LR) observations. This process has also been referred to in the literature as resolution enhancement (RE). SR has been applied primarily to spatial and temporal RE, but also to hyperspectral image enhancement. This book concentrates on motion based spatial RE, although the authors also describe motion free and hyperspectral image SR problems. Also examined is the very recent research area of SR for compression, which consists of the intentional downsampling, during pre-processing, of a video sequence to be compressed and the application of SR techniques, during post-processing, on the compressed sequence. It is clear that there is a strong interplay between the tools and techniques developed for SR and a number of other inverse problems encountered in signal processing (e.g., image restoration, motion estimation). SR techniques are being applied to a variety of fields, such as obtaining improved still images from video sequences (video printing), high definition television, high performance color Liquid Crystal Display (LCD) screens, improvement of the quality of color images taken by one CCD, video surveillance, remote sensing, and medical imaging. The authors believe that the SR/RE area has matured enough to develop a body of knowledge that can now start to provide useful and practical solutions to challenging real problems and that SR techniques can be an integral part of an image and video codec and can drive the development of new coder-decoders (codecs) and standards.
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Joint Source-Channel Video Transmission
Lingua: Inglese
Editore: Springer International Publishing, 2007
ISBN 10: 3031011163 ISBN 13: 9783031011160
EUR 35,30
Spedizione EUR 61,49
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (QoS) support from the network, and packet scheduling, for efficient video transmission. Real-time video communication applications, such as videoconferencing, video telephony, and on-demand video streaming, have gained increased popularity. However, a key problem in video transmission over the existing Internet and wireless networks is the incompatibility between the nature of the network conditions and the QoS requirements (in terms, for example, of bandwidth, delay, and packet loss) of real-time video applications. To deal with this incompatibility, a natural approach is to adapt the end-system to the network. The joint source-channel coding approach aims to efficiently perform content-aware cross-layerresource allocation, thus increasing the communication efficiency of multiple network layers. Our purpose in this book is to review the basic elements of the state-of-the-art approaches toward joint source-channel video transmission for wired and wireless systems. In this book, we present a general resource-distortion optimization framework, which is used throughout the book to guide our discussions on various techniques of joint source-channel video transmission. In this framework, network resources from multiple layers are assigned to each video packet according to its level of importance. It provides not only an optimization benchmark against which the performance of other sub-optimal systems can be evaluated, but also a useful tool for assessing the effectiveness of different error control components in practical system design. This book is therefore written to be accessible to researchers, expert industrial R&D engineers, and university students who are interested in the cutting edge technologies in joint source-channel video transmission. Contents: Introduction / Elements of a Video Communication System / Joint Source-Channel Coding / Error-Resilient Video Coding / Channel Modeling and Channel Coding / Internet Video Transmission / Wireless Video Transmission / Conclusions.
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Joint Source-Channel Video Transmission
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Dez 2007, 2007
ISBN 10: 3031011163 ISBN 13: 9783031011160
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 35,30
Spedizione EUR 60,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (QoS) support from the network, and packet scheduling, for efficient video transmission. Real-time video communication applications, such as videoconferencing, video telephony, and on-demand video streaming, have gained increased popularity. However, a key problem in video transmission over the existing Internet and wireless networks is the incompatibility between the nature of the network conditions and the QoS requirements (in terms, for example, of bandwidth, delay, and packet loss) of real-time video applications. To deal with this incompatibility, a natural approach is to adapt the end-system to the network. The joint source-channel coding approach aims to efficiently perform content-aware cross-layerresource allocation, thus increasing the communication efficiency of multiple network layers. Our purpose in this book is to review the basic elements of the state-of-the-art approaches toward joint source-channel video transmission for wired and wireless systems. In this book, we present a general resource-distortion optimization framework, which is used throughout the book to guide our discussions on various techniques of joint source-channel video transmission. In this framework, network resources from multiple layers are assigned to each video packet according to its level of importance. It provides not only an optimization benchmark against which the performance of other sub-optimal systems can be evaluated, but also a useful tool for assessing the effectiveness of different error control components in practical system design. This book is therefore written to be accessible to researchers, expert industrial R&D engineers, and university students who are interested in the cutting edge technologies in joint source-channel video transmission. Contents: Introduction / Elements of a Video Communication System / Joint Source-Channel Coding / Error-Resilient Video Coding / Channel Modeling and Channel Coding / Internet Video Transmission / Wireless Video Transmission / ConclusionsSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch.
