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Similarity Based Pattern Analysis Recognition by Pelillo Marcello (28 results)
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£ 12.88
Convert currency£ 7.73 shipping from Germany to United KingdomQuantity: 1 available
Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 308 | Sprache: Englisch | Produktart: Bücher.
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Similarity-Based Pattern Analysis and Recognition.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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£ 14.32
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Add to basketxiv, 291 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.
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Similarity-based Pattern Analysis and Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 97.61
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Similarity-Based Pattern Analysis and Recognition (Advances in Computer Vision and Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Similarity-Based Pattern Analysis and Recognition (Advances in Computer Vision and Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 90.34
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Similarity-based Pattern Analysis and Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 107.69
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Similarity-Based Pattern Analysis and Recognition
Published by Springer London, Springer London, 2013
ISBN 10: 1447156277 ISBN 13: 9781447156277
Language: English
£ 99.81
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a 'kernel tailoring' approach and a strategy for learning similarities directly from training data; describes various methods for 'structure-preserving' embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imagingapplications.
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Similarity-Based Pattern Analysis and Recognition
Published by Springer London, Springer London, 2016
ISBN 10: 1447169506 ISBN 13: 9781447169505
Language: English
£ 99.81
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a 'kernel tailoring' approach and a strategy for learning similarities directly from training data; describes various methods for 'structure-preserving' embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imagingapplications.
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£ 101.07
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Similarity-Based Pattern Analysis and Recognition
Published by Springer London, Springer London Sep 2016, 2016
ISBN 10: 1447169506 ISBN 13: 9781447169505
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 95.74
Convert currency£ 30.41 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a ¿kernel tailoring¿ approach and a strategy for learning similarities directly from training data; describes various methods for ¿structure-preserving¿ embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imagingapplications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.
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Similarity-Based Pattern Analysis and Recognition
Published by Springer London, Springer London Dez 2013, 2013
ISBN 10: 1447156277 ISBN 13: 9781447156277
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 95.74
Convert currency£ 30.41 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a ¿kernel tailoring¿ approach and a strategy for learning similarities directly from training data; describes various methods for ¿structure-preserving¿ embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imagingapplications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.
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£ 130.04
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Add to basketCondition: New. pp. 308.
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Similarity-based Pattern Analysis and Recognition
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 1447169506 ISBN 13: 9781447169505
Language: English
Paperback. Condition: Brand New. reprint edition. 305 pages. 9.25x6.10x0.73 inches. In Stock.
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Similarity-based Pattern Analysis and Recognition
Published by Springer-Verlag New York Inc, 2013
ISBN 10: 1447156277 ISBN 13: 9781447156277
Language: English
Hardcover. Condition: Brand New. 291 pages. 9.25x6.25x0.75 inches. In Stock.
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£ 89.31
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Hardcover. Condition: Like New. Like New. book.
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£ 163.86
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Add to basketCondition: New. pp. 291.
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£ 82.57
Convert currency£ 21.71 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a coherent overview of the emerging field of non-Euclidean similarity learningPresents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world.
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£ 82.57
Convert currency£ 21.71 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a coherent overview of the emerging field of non-Euclidean similarity learningPresents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world.
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Similarity-Based Pattern Analysis and Recognition
Published by Springer London Sep 2016, 2016
ISBN 10: 1447169506 ISBN 13: 9781447169505
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 95.74
Convert currency£ 9.56 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a 'kernel tailoring' approach and a strategy for learning similarities directly from training data; describes various methods for 'structure-preserving' embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imaging applications. 308 pp. Englisch.
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Similarity-Based Pattern Analysis and Recognition
Published by Springer London Dez 2013, 2013
ISBN 10: 1447156277 ISBN 13: 9781447156277
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 95.74
Convert currency£ 9.56 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms; reviews similarity measures for non-vectorial data, considering both a 'kernel tailoring' approach and a strategy for learning similarities directly from training data; describes various methods for 'structure-preserving' embeddings of structured data; formulates classical pattern recognition problems from a purely game-theoretic perspective; examines two large-scale biomedical imaging applications. 308 pp. Englisch.
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Similarity-Based Pattern Analysis and Recognition
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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£ 113.44
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 749.
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Similarity-Based Pattern Analysis and Recognition
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 113.44
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 474.
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Condition: New. Print on Demand pp. 308 65 Illus. (46 Col.).
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£ 143.60
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Add to basketCondition: New. PRINT ON DEMAND pp. 308.
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Condition: New. Print on Demand pp. 291.
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£ 180.57
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Add to basketCondition: New. PRINT ON DEMAND pp. 291.
