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Advances in Computer Vision and Pattern Recognition

Structural Pattern Recognition with Graph Edit Distance

Approximation Algorithms and Applications

Authors: Riesen, Kaspar

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  • Provides a thorough introduction to the concept of graph edit distance (GED)
  • Describes a selection of diverse GED algorithms with step-by-step examples
  • Presents a unique overview of recent pattern recognition applications based on GED
  • Includes several novel and significant extensions of GED, with a special focus on fast approximation algorithms for GED
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eBook 83,29 €
price for Spain (gross)
  • ISBN 978-3-319-27252-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-27251-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-80101-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED). The book also provides a detailed review of a diverse selection of novel methods related to GED, and concludes by suggesting possible avenues for future research. Topics and features: formally introduces the concept of GED, and highlights the basic properties of this graph matching paradigm; describes a reformulation of GED to a quadratic assignment problem; illustrates how the quadratic assignment problem of GED can be reduced to a linear sum assignment problem; reviews strategies for reducing both the overestimation of the true edit distance and the matching time in the approximation framework; examines the improvement demonstrated by the described algorithmic framework with respect to the distance accuracy and the matching time; includes appendices listing the datasets employed for the experimental evaluations discussed in the book.

About the authors

Dr. Kaspar Riesen is a university lecturer of computer science in the Institute for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.

Reviews

“The book presents the use of graphs in the field of structural pattern recognition. … The book is written in a very accessible fashion. The author gives many examples presenting the notations and problems considered. The book is suitable for graduate students and is an ideal reference for researchers and professionals interested in graph edit distance and its applications in pattern recognition.” (Krzystof Gdawiec, zbMATH 1365.68004, 2017) 

“This book is exactly about this fascinating topic: the definition, the study of properties, and the areas of application of the graph edit distance in the realm of structural pattern recognition. … The book’s intended audience is advanced graduate students in science and engineering, but also professionals working in relevant fields.” (Dimitrios Katsaros, Computing Reviews, computingreviews.com, August, 2016)


Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook 83,29 €
price for Spain (gross)
  • ISBN 978-3-319-27252-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-27251-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-80101-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Structural Pattern Recognition with Graph Edit Distance
Book Subtitle
Approximation Algorithms and Applications
Authors
Series Title
Advances in Computer Vision and Pattern Recognition
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-27252-8
DOI
10.1007/978-3-319-27252-8
Hardcover ISBN
978-3-319-27251-1
Softcover ISBN
978-3-319-80101-8
Series ISSN
2191-6586
Edition Number
1
Number of Pages
XIII, 158
Number of Illustrations
24 b/w illustrations, 4 illustrations in colour
Topics