Handbook mathematical models algorithms (6 Ergebnisse)
- Hardcover
- Erstausgabe
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Hardcover. Zustand: new. Hardcover. This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessar…y for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision.Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
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Hardcover. Zustand: Brand New. 2010 pages. 9.25x6.10x4.65 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland 2023
- Hardcover
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EUR 962,99
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook gathers together the state of the art onmathematical modelsand algorithms for imaging and vision. Its emphasis lies onrigorous mathematicalmethods, which represent the optimal solutions to a class of imaging and vision problems, and on effecti…ve algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, andnonlinearoptimization, and provides the basis of high-resolution imaging throughgeometry andvariational models. Besides,optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning.No other framework can provide comparable accuracy and precision to imaging and vision.Written by leading researchers in imaging andvision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Isaac Newton Institute for Mathematical Sciences|Springer 2023
- Hardcover
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Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland Feb 2023 2023
- Hardcover
- Print-on-Demand
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems…, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision.Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 2064 pp. Englisch.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland Feb 2023 2023
- Hardcover
- Print-on-Demand
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This handbook gathers together the state of the art onmathematical modelsand algorithms for imaging and vision. Its emphasis lies onrigorous mathematicalmethods, which represent the optimal solutions to a class of imaging and vision problems…, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, andnonlinearoptimization, and provides the basis of high-resolution imaging throughgeometry andvariational models. Besides,optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning.No other framework can provide comparable accuracy and precision to imaging and vision.Written by leading researchers in imaging andvision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists. 2064 pp. Englisch.
