Structural Pattern Recognition with Graph Edit Distance

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.

lt;p>Part I: Foundations and Applications of Graph Edit Distance

Introduction and Basic Concepts

Graph Edit Distance

Bipartite Graph Edit Distance

Part II: Recent Developments and Research on Graph Edit Distance

Improving the Distance Accuracy of Bipartite Graph Edit Distance

Learning Exact Graph Edit Distance

Speeding Up Bipartite Graph Edit Distance

Conclusions and Future Work

Appendix A: Experimental Evaluation of Sorted Beam Search

Appendix B: Data Sets

lt;p>"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)