Overview
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.
Full Product Details
Author: Kaspar Riesen
Publisher: Springer International Publishing AG
Imprint: Springer International Publishing AG
Edition: Softcover reprint of the original 1st ed. 2015
Dimensions:
Width: 15.50cm
, Height: 0.90cm
, Length: 23.50cm
Weight: 0.454kg
ISBN: 9783319801018
ISBN 10: 3319801015
Pages: 158
Publication Date: 30 March 2018
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
The book presents the use of graphs in the field of structural pattern recognition. ... The book is written in a very accessible fashion. The author gives many examples presenting the notations and problems considered. The book is suitable for graduate students and is an ideal reference for researchers and professionals interested in graph edit distance and its applications in pattern recognition. (Krzystof Gdawiec, zbMATH 1365.68004, 2017) This book is exactly about this fascinating topic: the definition, the study of properties, and the areas of application of the graph edit distance in the realm of structural pattern recognition. ... The book's intended audience is advanced graduate students in science and engineering, but also professionals working in relevant fields. (Dimitrios Katsaros, Computing Reviews, computingreviews.com, August, 2016) This book is exactly about this fascinating topic: the definition, the study of properties, and the areas of application of the graph edit distance in the realm of structural pattern recognition. ... The book's intended audience is advanced graduate students in science and engineering, but also professionals working in relevant fields. (Dimitrios Katsaros, Computing Reviews, computingreviews.com, August, 2016) This book is exactly about this fascinating topic: the definition, the study of properties, and the areas of application of the graph edit distance in the realm of structural pattern recognition. The book s intended audience is advanced graduate students in science and engineering, but also professionals working in relevant fields. (Dimitrios Katsaros, Computing Reviews, computingreviews.com, August, 2016)
Author Information
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.
