Published by Shashwat Publication
ISBN 10: 9360877913 ISBN 13: 9789360877910
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Seller: Books From California, Simi Valley, CA, U.S.A.
paperback. Condition: Very Good.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
vi, 391 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Published by Shashwat Publication
ISBN 10: 9360877913 ISBN 13: 9789360877910
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
hardcover. Condition: 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!
Published by Shashwat Publication
ISBN 10: 9360877913 ISBN 13: 9789360877910
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Condition: New.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer (edition 1st ed. 2016), 2016
ISBN 10: 149394018X ISBN 13: 9781493940189
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Very Good. 1st ed. 2016. 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.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 70.12
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Add to basketCondition: New. In English.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Springer-Verlag New York Inc., US, 2018
ISBN 10: 1493981552 ISBN 13: 9781493981557
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 153.56
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Add to basketPaperback. Condition: New. Softcover reprint of the original 1st ed. 2016.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 465.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Functional and Shape Data Analysis | Anuj Srivastava (u. a.) | Taschenbuch | Springer Series in Statistics | xviii | Englisch | 2018 | Humana | EAN 9781493981557 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 197.54
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Add to basketPaperback. Condition: Brand New. reprint edition. 447 pages. 10.00x7.00x1.06 inches. In Stock.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 486.
Taschenbuch. Condition: Neu. Riemannian Computing in Computer Vision | Pavan K. Turaga (u. a.) | Taschenbuch | vi | Englisch | 2016 | Springer | EAN 9783319360959 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered-from introductory theory to algorithmic implementations and some statistical case studies-is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges.Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves-in one, two, and higher dimensions-both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.
Language: English
Published by Springer International Publishing, Springer International Publishing Aug 2016, 2016
ISBN 10: 3319360957 ISBN 13: 9783319360959
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volumeincludes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319360957 ISBN 13: 9783319360959
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).
Language: English
Published by Springer-Verlag New York Inc., US, 2018
ISBN 10: 1493981552 ISBN 13: 9781493981557
Seller: Rarewaves.com UK, London, United Kingdom
US$ 147.76
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Add to basketPaperback. Condition: New. Softcover reprint of the original 1st ed. 2016.
Language: English
Published by Springer International Publishing, 2015
ISBN 10: 3319229567 ISBN 13: 9783319229560
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).