Structural Pattern Recognition with Graph Edit Distance

Approximation Algorithms and Applications

von Kaspar Riesen

158 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Advances in Computer Vision and Pattern Recognition
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) Mustererkennung
• ISBN: 9783319272511
• Sprache: Englisch
• Erscheinungsdatum: 08.02.2016
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing