Structural Pattern Recognition with Graph Edit Distance
Approximation Algorithms and Applications
- Paperback
158 pages
- Release Date
30 March 2018
Summary
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 q…
Book Details
| ISBN-13: | 9783319801018 |
|---|---|
| ISBN-10: | 3319801015 |
| Author: | Kaspar Riesen |
| Publisher: | Springer International Publishing AG |
| Imprint: | Springer International Publishing AG |
| Format: | Paperback |
| Number of Pages: | 158 |
| Release Date: | 30 March 2018 |
| Weight: | 454g |
| Dimensions: | 235mm x 155mm |
| Series: | Advances in Computer Vision and Pattern Recognition |
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What They're Saying
Critics Review
“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)
About The Author
Kaspar Riesen
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.
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