Structural Pattern Recognition with Graph Edit Distance Approximation Algorithms and Applications /

• Κύριος συγγραφέας: Riesen, Kaspar (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Advances in Computer Vision and Pattern Recognition,
• Θέματα: Computer science.; Data structures (Computer science).; Pattern recognition.; Computer Science.; Pattern Recognition.; Data Structures.

This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED), one of the most flexible graph distance models available. The book also provides a detailed review of a diverse selection of novel methods...

Πίνακας περιεχομένων:

• 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.