Guy Gilboa (34 results)
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Published by Springer 2019
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
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Published by Springer 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
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Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
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Published by Springer 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Published by Springer 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
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Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Published by Springer 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Language: English
Published by Springer 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Published by Springer 2019
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Published by Springer 2019
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Taschenbuch. Condition: Neu. Nonlinear Eigenproblems in Image Processing and Computer Vision | Guy Gilboa | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xx | Englisch | 2019 | Springer | EAN 9783030093396 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juerge…n[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 194 pages. 9.25x6.10x0.67 inches. In Stock.
Language: English
Published by Springer International Publishing, Springer International Publishing 2019
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique text/reference presents a fresh look at nonlinear processing through nonlinear eigenvalue analysis, highlighting how one-homogeneous convex functionals can induce nonlinear operators that can be analyzed within an eigenvalue framework.…The text opens with an introduction to the mathematical background, together with a summary of classical variational algorithms for vision. This is followed by a focus on the foundations and applications of the new multi-scale representation based on non-linear eigenproblems. The book then concludes with a discussion of new numerical techniques for finding nonlinear eigenfunctions, and promising research directions beyond the convex case.Topics and features: introduces the classical Fourier transform and its associated operator and energy, and asks how these concepts can be generalized in the nonlinear case; reviews the basic mathematical notion, briefly outlining the use of variational and flow-based methods to solve image-processingand computer vision algorithms; describes the properties of the total variation (TV) functional, and how the concept of nonlinear eigenfunctions relate to convex functionals; provides a spectral framework for one-homogeneous functionals, and applies this framework for denoising, texture processing and image fusion; proposes novel ways to solve the nonlinear eigenvalue problem using special flows that converge to eigenfunctions; examines graph-based and nonlocal methods, for which a TV eigenvalue analysis gives rise to strong segmentation, clustering and classification algorithms; presents an approach to generalizing the nonlinear spectral concept beyond the convex case, based on pixel decay analysis; discusses relations to other branches of image processing, such as wavelets and dictionary based methods.This original work offers fascinating new insights into established signal processing techniques, integrating deep mathematical concepts from a range of different fields, which will be of great interest to all researchers involved with image processing and computer vision applications, as well as computations for more general scientific problems.
Language: English
Published by Springer International Publishing 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique text/reference presents a fresh look at nonlinear processing through nonlinear eigenvalue analysis, highlighting how one-homogeneous convex functionals can induce nonlinear operators that can be analyzed within an eigenvalue framework. The tex…t opens with an introduction to the mathematical background, together with a summary of classical variational algorithms for vision. This is followed by a focus on the foundations and applications of the new multi-scale representation based on non-linear eigenproblems. The book then concludes with a discussion of new numerical techniques for finding nonlinear eigenfunctions, and promising research directions beyond the convex case.Topics and features: introduces the classical Fourier transform and its associated operator and energy, and asks how these concepts can be generalized in the nonlinear case; reviews the basic mathematical notion, briefly outlining the use of variational and flow-based methods to solve image-processingand computer vision algorithms; describes the properties of the total variation (TV) functional, and how the concept of nonlinear eigenfunctions relate to convex functionals; provides a spectral framework for one-homogeneous functionals, and applies this framework for denoising, texture processing and image fusion; proposes novel ways to solve the nonlinear eigenvalue problem using special flows that converge to eigenfunctions; examines graph-based and nonlocal methods, for which a TV eigenvalue analysis gives rise to strong segmentation, clustering and classification algorithms; presents an approach to generalizing the nonlinear spectral concept beyond the convex case, based on pixel decay analysis; discusses relations to other branches of image processing, such as wavelets and dictionary based methods.This original work offers fascinating new insights into established signal processing techniques, integrating deep mathematical concepts from a range of different fields, which will be of great interest to all researchers involved with image processing and computer vision applications, as well as computations for more general scientific problems.
Language: English
Published by Springer 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Kennys Bookstore, Olney, U.S.A.Kennys Bookstore
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Language: English
Published by Springer 2019
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Softcover
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Paperback. Condition: Brand New. 75 pages. 9.00x6.00x0.15 inches. In Stock. This item is printed on demand.
Language: English
Published by Springer 2019
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
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Language: English
Published by Springer 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Print on Demand
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Language: English
Published by Springer International Publishing Jan 2019 2019
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This unique text/reference presents a fresh look at nonlinear processing through nonlinear eigenvalue analysis, highlighting how one-homogeneous convex functionals can induce nonlinear operators that can be analyzed within an eigenv…alue framework. The text opens with an introduction to the mathematical background, together with a summary of classical variational algorithms for vision. This is followed by a focus on the foundations and applications of the new multi-scale representation based on non-linear eigenproblems. The book then concludes with a discussion of new numerical techniques for finding nonlinear eigenfunctions, and promising research directions beyond the convex case.Topics and features: introduces the classical Fourier transform and its associated operator and energy, and asks how these concepts can be generalized in the nonlinear case; reviews the basic mathematical notion, briefly outlining the use of variational and flow-based methods to solve image-processing and computer vision algorithms; describes the properties of the total variation (TV) functional, and how the concept of nonlinear eigenfunctions relate to convex functionals; provides a spectral framework for one-homogeneous functionals, and applies this framework for denoising, texture processing and image fusion; proposes novel ways to solve the nonlinear eigenvalue problem using special flows that converge to eigenfunctions; examines graph-based and nonlocal methods, for which a TV eigenvalue analysis gives rise to strong segmentation, clustering and classification algorithms; presents an approach to generalizing the nonlinear spectral concept beyond the convex case, based on pixel decay analysis; discusses relations to other branches of image processing, such as wavelets and dictionary based methods.This original work offers fascinating new insights into established signal processing techniques, integrating deep mathematical concepts from a range of different fields, which will be of great interest to all researchers involved with image processing and computer vision applications, as well as computations for more general scientific problems. 192 pp. Englisch.
Language: English
Published by Springer International Publishing Apr 2018 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This unique text/reference presents a fresh look at nonlinear processing through nonlinear eigenvalue analysis, highlighting how one-homogeneous convex functionals can induce nonlinear operators that can be analyzed within an eigenvalue fr…amework. The text opens with an introduction to the mathematical background, together with a summary of classical variational algorithms for vision. This is followed by a focus on the foundations and applications of the new multi-scale representation based on non-linear eigenproblems. The book then concludes with a discussion of new numerical techniques for finding nonlinear eigenfunctions, and promising research directions beyond the convex case.Topics and features: introduces the classical Fourier transform and its associated operator and energy, and asks how these concepts can be generalized in the nonlinear case; reviews the basic mathematical notion, briefly outlining the use of variational and flow-based methods to solve image-processing and computer vision algorithms; describes the properties of the total variation (TV) functional, and how the concept of nonlinear eigenfunctions relate to convex functionals; provides a spectral framework for one-homogeneous functionals, and applies this framework for denoising, texture processing and image fusion; proposes novel ways to solve the nonlinear eigenvalue problem using special flows that converge to eigenfunctions; examines graph-based and nonlocal methods, for which a TV eigenvalue analysis gives rise to strong segmentation, clustering and classification algorithms; presents an approach to generalizing the nonlinear spectral concept beyond the convex case, based on pixel decay analysis; discusses relations to other branches of image processing, such as wavelets and dictionary based methods.This original work offers fascinating new insights into established signal processing techniques, integrating deep mathematical concepts from a range of different fields, which will be of great interest to all researchers involved with image processing and computer vision applications, as well as computations for more general scientific problems. 192 pp. Englisch.
Language: English
Published by Springer International Publishing 2019
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book on this topic, relating the new theory to image processing and computer vision applications Integrates deep mathematical concepts from various fields into a coherent manuscript with plots, graphs and in…tuitions, allowing broader ac.
Language: English
Published by Springer International Publishing 2018
Series: Advances in Computer Vision and Pattern Recognition, Book 66 of 86. Book 66 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book on this topic, relating the new theory to image processing and computer vision applications Integrates deep mathematical concepts from various fields into a coherent manuscript with plots, gra…phs and intuitions, allowing broader ac.
