Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Condition: 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.
Language: English
Published by Cambridge University Press 01/n /18 J, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Bahamut Media, Reading, United Kingdom
Hardcover. Condition: 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.
Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Anybook.com, Lincoln, United Kingdom
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Add to basketCondition: 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.
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Language: English
Published by Cambridge University Press CUP, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 598.
Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Majestic Books, Hounslow, United Kingdom
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Add to basketCondition: New. pp. 598 357 Illus. (Col.).
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Cambridge University Press 2012-06-18, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Chiron Media, Wallingford, United Kingdom
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Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
Condition: 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. . . . . .
Language: English
Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: 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 multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: 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.
Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: moluna, Greven, Germany
Condition: 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.
Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Add to basketHardcover. Condition: Brand New. 1st edition. 632 pages. 10.10x7.00x1.30 inches. In Stock.
Language: English
Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: 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.
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Hardcover. Condition: gut. 2012. Computer Vision. Models, Learning and Inference In englischer Sprache. pages.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 1st edition. 632 pages. 10.10x7.00x1.30 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 598.
Language: English
Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: CitiRetail, Stevenage, United Kingdom
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Add to basketHardcover. Condition: 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.
Language: English
Published by Cambridge University Press, 2019
ISBN 10: 1107011795 ISBN 13: 9781107011793
Seller: preigu, Osnabrück, Germany
Buch. Condition: 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.