Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)

Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)

Kaspar Riesen
$109.99
Publication Date: February 8th, 2016
Publisher:
Springer
ISBN:
9783319272511
Pages:
158
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Description

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

About the Author

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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