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Hardcover. Condition: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Tapa Blanda. Condition: Bien. Colección 'Computer Science Workbench'. Tapa Blanda. Profusamente ilustrado.9784431703099. Springer. Japón. 2001. 24x16 centímetros. 323 páginas. Tapa blanda. Estado=Bien. Inglés.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 362 | Sprache: Englisch | Produktart: Bücher | This detailed book presents a comprehensive study on the use of Markov Random Fields for solving computer vision problems. Various vision models are presented, and this third edition includes the most recent advances with new and expanded sections.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 362 | Sprache: Englisch | Produktart: Bücher | This detailed book presents a comprehensive study on the use of Markov Random Fields for solving computer vision problems. Various vision models are presented, and this third edition includes the most recent advances with new and expanded sections.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 362 | Sprache: Englisch | Produktart: Bücher | This detailed book presents a comprehensive study on the use of Markov Random Fields for solving computer vision problems. Various vision models are presented, and this third edition includes the most recent advances with new and expanded sections.
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Condition: as new. Wie neu/Like new.
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Condition: As New. Unread book in perfect condition.
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Markov Random Field Modeling in Image Analysis (Advances in Computer Vision and Pattern Recognition)
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Markov Random Field Modeling in Image Analysis (Advances in Computer Vision and Pattern Recognition)
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 384 3rd Edition.
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London Ltd, GB, 2009
ISBN 10: 1848002785 ISBN 13: 9781848002784
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. Third Edition 2009. Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.
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Markov Random Field Modeling in Image Analysis (Advances in Computer Vision and Pattern Recognition)
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionUS$ 264.98
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London Ltd, GB, 2009
ISBN 10: 1848002785 ISBN 13: 9781848002784
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Add to basketHardback. Condition: New. Third Edition 2009. Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London Apr 2009, 2009
ISBN 10: 1848002785 ISBN 13: 9781848002784
Buch. Condition: Neu. Neuware - Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.
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Soft cover. Condition: New. Language:Chinese.Author:LIU GUO YING DENG BIAN ZHU.Binding:Soft cover.Publisher:Science Press.
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by SPRINGER NATURE Okt 2010, 2010
ISBN 10: 1849967679 ISBN 13: 9781849967679
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas. 362 pp. Englisch.
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionUS$ 165.84
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive coverage over a broad range of Markov Random Field TheoryProvides the most recent advances in the fieldMarkov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpre.
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionUS$ 165.84
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Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive coverage over a broad range of Markov Random Field TheoryProvides the most recent advances in the fieldMarkov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpre.
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Taschenbuch. Condition: Neu. Markov Random Field Modeling in Image Analysis | Stan Z Li | Taschenbuch | xxii | Englisch | 2010 | Springer London | EAN 9781849967679 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Markov Random Field Modeling in Image Analysis
Book 5 of 86: Advances in Computer Vision and Pattern RecognitionUS$ 245.87
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Add to basketCondition: New. Print on Demand pp. 384 111 Illus.
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Condition: New. PRINT ON DEMAND pp. 384.
