Structural Pattern Recognition with Graph Edit Distance
Approximation Algorithms and Applications
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 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 paradigmDescribes a reformulation of GED to a quadratic assignment problemIllustrates how the quadratic assignment problem of GED can be reduced…
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Produktdetails
- ISBN: 978-3-319-27252-8
- EAN: 9783319272528
- Produktnummer: 19326279
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Plattform: PDF
- Masse: 3'213 KB
Über den Autor
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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