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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data
Editore: Morgan & Claypool "Synthesis Lectures on Visual Computing" series, [Kentfield CA], 2017
ISBN 10: 1681731436 ISBN 13: 9781681731438
Da: Philip Gibbons Books, Newcastle Emlyn, Regno Unito
Valutazione del venditore 5 su 5 stelle
Prima edizione
EUR 8,52
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Aggiungi al carrelloTrade Paperback. First edition. ||| A digital text - this copy printed in the UK. quarto-size, 164 pages (xvi, 148), mathematical notatioon throughout, diagrams, half-tone illustrations, bibliography: publisher's white card covers. ||| CONDITION: New book awaiting dispatch from UK. My pictures always show the actual book ||| SHIPPING: UK Second-Class postage is free.
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data (Synthesis Lectures on Visual Computing)
Editore: Morgan & Claypool Publishers, 2017
ISBN 10: 1681731436 ISBN 13: 9781681731438
Lingua: Inglese
Da: Our Kind Of Books, Liphook, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 12,25
Convertire valutaEUR 17,84 per la spedizione da Regno Unito a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloSoft cover. Condizione: As New. This book has been in storage since publication and is unread. Hence the description as new .
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data
Editore: Springer International Publishing, 2017
ISBN 10: 3031014669 ISBN 13: 9783031014666
Lingua: Inglese
EUR 48,14
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In image processing and computer vision applications such as medical or scientific image data analysis, as well as in industrial scenarios, images are used as input measurement data. It is good scientific practice that proper measurements must be equipped with error and uncertainty estimates. For many applications, not only the measured values but also their errors and uncertainties, should be-and more and more frequently are-taken into account for further processing. This error and uncertainty propagation must be done for every processing step such that the final result comes with a reliable precision estimate. The goal of this book is to introduce the reader to the recent advances from the field of uncertainty quantification and error propagation for computer vision, image processing, and image analysis that are based on partial differential equations (PDEs). It presents a concept with which error propagation and sensitivity analysis can be formulated with a set of basic operations.The approach discussed in this book has the potential for application in all areas of quantitative computer vision, image processing, and image analysis. In particular, it might help medical imaging finally become a scientific discipline that is characterized by the classical paradigms of observation, measurement, and error awareness. This book is comprised of eight chapters. After an introduction to the goals of the book (Chapter 1), we present a brief review of PDEs and their numerical treatment (Chapter 2), PDE-based image processing (Chapter 3), and the numerics of stochastic PDEs (Chapter 4). We then proceed to define the concept of stochastic images (Chapter 5), describe how to accomplish image processing and computer vision with stochastic images (Chapter 6), and demonstrate the use of these principles for accomplishing sensitivity analysis (Chapter 7). Chapter 8 concludes the book and highlights new research topics for the future.
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 56,85
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Stochastic Partial Differential Equations for Computer Vision With Uncertain Data
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 47,70
Convertire valutaEUR 17,80 per la spedizione da U.S.A. a ItaliaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 55,89
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Stochastic Partial Differential Equations for Computer Vision With Uncertain Data
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 50,93
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Stochastic Partial Differential Equations for Computer Vision With Uncertain Data
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 50,74
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Stochastic Partial Differential Equations for Computer Vision With Uncertain Data
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 55,12
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
EUR 67,83
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Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data
Da: Chiron Media, Wallingford, Regno Unito
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EUR 52,09
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Aggiungi al carrelloPF. Condizione: New.
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 49,51
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data (Synthesis Lectures on Visual Computing)
Editore: Morgan & Claypool Publishers, 2017
ISBN 10: 1681731436 ISBN 13: 9781681731438
Lingua: Inglese
EUR 182,43
Convertire valutaEUR 29,73 per la spedizione da Regno Unito a ItaliaQuantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Like New. Like New. book.
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data
Editore: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2017
ISBN 10: 3031014669 ISBN 13: 9783031014666
Lingua: Inglese
EUR 42,96
Convertire valutaEUR 9,70 per la spedizione da Germania a ItaliaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In image processing and computer vision applications such as medical or scientific image data analysis, as well as in industrial scenarios, images are used as input measurement data. It is good scientific practice that proper measurements must be equipped w.
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data
Editore: Springer International Publishing Jul 2017, 2017
ISBN 10: 3031014669 ISBN 13: 9783031014666
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 48,14
Convertire valutaEUR 11,00 per la spedizione da Germania a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In image processing and computer vision applications such as medical or scientific image data analysis, as well as in industrial scenarios, images are used as input measurement data. It is good scientific practice that proper measurements must be equipped with error and uncertainty estimates. For many applications, not only the measured values but also their errors and uncertainties, should be-and more and more frequently are-taken into account for further processing. This error and uncertainty propagation must be done for every processing step such that the final result comes with a reliable precision estimate. The goal of this book is to introduce the reader to the recent advances from the field of uncertainty quantification and error propagation for computer vision, image processing, and image analysis that are based on partial differential equations (PDEs). It presents a concept with which error propagation and sensitivity analysis can be formulated with a set of basic operations. The approach discussed in this book has the potential for application in all areas of quantitative computer vision, image processing, and image analysis. In particular, it might help medical imaging finally become a scientific discipline that is characterized by the classical paradigms of observation, measurement, and error awareness. This book is comprised of eight chapters. After an introduction to the goals of the book (Chapter 1), we present a brief review of PDEs and their numerical treatment (Chapter 2), PDE-based image processing (Chapter 3), and the numerics of stochastic PDEs (Chapter 4). We then proceed to define the concept of stochastic images (Chapter 5), describe how to accomplish image processing and computer vision with stochastic images (Chapter 6), and demonstrate the use of these principles for accomplishing sensitivity analysis (Chapter 7). Chapter 8 concludes the book and highlights new research topics for the future. 164 pp. Englisch.
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 69,02
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Stochastic Partial Differential Equations for Computer Vision with Uncertain Data (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 70,65
Convertire valutaEUR 7,95 per la spedizione da Germania a ItaliaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
