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Ajouter au panierTapa Blanda. Etat : 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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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Ajouter au panierEtat : New.
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Ajouter au panierEtat : New. In.
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Ajouter au panierEtat : New. pp. 384 3rd Edition.
Edité par Springer London Ltd, GB, 2009
ISBN 10 : 1848002785 ISBN 13 : 9781848002784
Langue: anglais
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Ajouter au panierHardback. Etat : 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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Ajouter au panierTaschenbuch. Etat : 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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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Edité par Springer London Ltd, GB, 2009
ISBN 10 : 1848002785 ISBN 13 : 9781848002784
Langue: anglais
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Ajouter au panierHardback. Etat : 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.
Edité par Springer London Apr 2009, 2009
ISBN 10 : 1848002785 ISBN 13 : 9781848002784
Langue: anglais
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Ajouter au panierBuch. Etat : 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.
Edité par SPRINGER NATURE Okt 2010, 2010
ISBN 10 : 1849967679 ISBN 13 : 9781849967679
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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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Ajouter au panierKartoniert / Broschiert. Etat : 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.
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierGebunden. Etat : 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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Ajouter au panierEtat : New. Print on Demand pp. 384 111 Illus.
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 384.