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

Riesen, Kaspar

ISBN 10: 3319801015 / ISBN 13: 9783319801018

Verlag: Springer, 2018

Beschreibung

Print on Demand pp. 174.

Bestandsnummer des Verkäufers 370471299

Bibliografische Details

• Titel: Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)
• Verlag: Springer
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 3319801015
• ISBN-13: 9783319801018
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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 quadratic assignment problem; illustrates how the quadratic assignment problem of GED can be reduced to a linear sum assignment problem; reviews strategies for reducing both the overestimation of the true edit distance and the matching time in the approximation framework; examines the improvement demonstrated by the described algorithmic framework with respect to the distance accuracy and the matching time; includes appendices listing the datasets employed for the experimental evaluations discussedin the book.

Über die Autorin bzw. 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.