Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
EUR 39,17
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In den WarenkorbZustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: Cambridge University Press 01/n /18 J, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
EUR 41,60
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In den WarenkorbHardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
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In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1500grams, ISBN:9781107011793.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Moe's Books, Berkeley, CA, USA
Hard cover. Zustand: Good. No jacket. Cover is worn and rubbed, not affecting legibility of text. Sticker from previous seller on back cover, obscuring some text and affecting legibility. Spine is shaken and cracked, but binding is secure. Inside is clean and unmarked.
Zustand: As New. Unread book in perfect condition.
Zustand: New.
hardcover. Zustand: new.
Zustand: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: 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.
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Zustand: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Sprache: Englisch
Verlag: Cambridge University Press CUP, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 598.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 99,83
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In den WarenkorbZustand: New. pp. 598 357 Illus. (Col.).
Sprache: Englisch
Verlag: Cambridge University Press 2012-06-18, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 94,42
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: New.
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In den WarenkorbZustand: New. In.
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EUR 96,56
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Erstausgabe
Zustand: New. 2012. 1st Edition. Hardcover. A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms. Num Pages: 598 pages, 357 colour illus. 5 tables 201 exercises. BIC Classification: UYQV. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 255 x 187 x 32. Weight in Grams: 1428. Models, Learning, and Inference. 598 pages, 357 colour illus. 5 tables 201 exercises. A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: UYQV. Dimension: 255 x 187 x 32. Weight: 1422. . . . . .
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 105,29
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2012. 1st Edition. Hardcover. A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms. Num Pages: 598 pages, 357 colour illus. 5 tables 201 exercises. BIC Classification: UYQV. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 255 x 187 x 32. Weight in Grams: 1428. Models, Learning, and Inference. 598 pages, 357 colour illus. 5 tables 201 exercises. A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: UYQV. Dimension: 255 x 187 x 32. Weight: 1422. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 118,12
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: moluna, Greven, Deutschland
Zustand: New. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate stude.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 165,47
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 632 pages. 10.10x7.00x1.30 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Hardcover. Zustand: new. Hardcover. This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking More than 70 algorithms are described in sufficient detail to implement More than 350 full-color illustrations amplify the text The treatment is self-contained, including all of the background mathematics Additional resources at With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Anbieter: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Deutschland
Hardcover. Zustand: gut. 2012. Computer Vision. Models, Learning and Inference In deutscher Sprache. pages.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 103,83
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 632 pages. 10.10x7.00x1.30 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking More than 70 algorithms are described in sufficient detail to implement More than 350 full-color illustrations amplify the text The treatment is self-contained, including all of the background mathematics Additional resources at With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. 598.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
EUR 107,37
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: new. Hardcover. This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking More than 70 algorithms are described in sufficient detail to implement More than 350 full-color illustrations amplify the text The treatment is self-contained, including all of the background mathematics Additional resources at With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 1107011795 ISBN 13: 9781107011793
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Computer Vision | Simon J. D. Prince | Buch | Gebunden | Englisch | 2019 | Cambridge University Press | EAN 9781107011793 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.