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Compressive Imaging Structure Sampling by Adcock Ben (25 results)
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Seller: Prior Books Ltd, Cheltenham, United Kingdom
Association Member: ABA ILAB PBFA
Seller rating 5 out of 5 stars
First Edition
Hardcover. Condition: Like New. First Edition. A firm and square hardback with sharp corners and strong joints, just showing a few very minor rubs. Hence a non-text page has a small 'damaged' stamp. Despite such this book is actually in nearly new condition. Thus the contents are crisp, fresh and tight. Also, no pen-marks and not from a library so no such stamps or labels. Now offered for sale at a very sensible price.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
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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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press CUP, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: Used. 1st edition NO-PA16APR2015-KAP.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: Used.
-
Compressive Imaging : Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: New.
-
Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: New.
-
Compressive Imaging : Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: As New. Unread book in perfect condition.
-
Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: Used.
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COMPRESSIVE IMAGING STRUCTURE SAMPLING
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: NEW.
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Compressive Imaging : Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Compressive Imaging: Structure, Sampling, Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Hardcover. Condition: new. Hardcover. Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging including compressed sensing, wavelets and optimization in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches. This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computer science, physics and engineering who want to learn about modern imaging techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press 2021-09-16, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Hardcover. Condition: New.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2021. Hardcover. . . . . .
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Compressive Imaging : Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Hardcover. Condition: Brand New. 300 pages. 9.50x6.75x1.25 inches. In Stock.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, GB, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging - including compressed sensing, wavelets and optimization - in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches.
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COMPRESSIVE IMAGING STRUCTURE SAMPLING
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: NEW.
-
Compressive Imaging: Structure, Sampling, Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Hardcover. Condition: new. Hardcover. Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging including compressed sensing, wavelets and optimization in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches. This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computer science, physics and engineering who want to learn about modern imaging techniques. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Condition: New. 2021. Hardcover. . . . . . Books ship from the US and Ireland.
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Condition: New. This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computer sc.
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Hardcover. Condition: Brand New. 300 pages. 9.50x6.75x1.25 inches. In Stock.
-
Compressive Imaging: Structure, Sampling, Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Hardcover. Condition: new. Hardcover. Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging including compressed sensing, wavelets and optimization in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches. This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computer science, physics and engineering who want to learn about modern imaging techniques. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Buch. Condition: Neu. Compressive Imaging: Structure, Sampling, Learning | Ben Adcock (u. a.) | Buch | Gebunden | Englisch | 2021 | Cambridge University Press | EAN 9781108421614 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Compressive Imaging: Structure, Sampling, Learning
Language: English
Published by Cambridge University Press, GB, 2021
ISBN 10: 110842161X ISBN 13: 9781108421614
Hardback. Condition: New. Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging - including compressed sensing, wavelets and optimization - in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches.
