Similarity-Based Pattern Analysis and Recognition

Language: English

Published by Springer, 2016

1447169506 / 9781447169505

Series: Book 36 of 86 - Advances in Computer Vision and Pattern Recognition

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.

Seller Inventory # 9781447169505

Title
Similarity-Based Pattern Analysis and Recognition
Author
Marcello Pelillo
Publisher
Springer
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1447169506
ISBN 13
9781447169505
Item weight
470 grams
Dimensions
235x155x17 mm
Series
Book 36 of 86: Advances in Computer Vision and Pattern Recognition

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
First itemUS$ 35.19US$ 35.19
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