Structural Pattern Recognition with Graph Edit Distance - Approximation Algorithms and Applications (Paperback, Softcover reprint of the original 1st ed. 2015)

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 discussed in the book.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advances in Computer Vision and Pattern Recognition
Release date:	March 2018
First published:	2015
Authors:	Kaspar Riesen
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	158
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-80101-8
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Promotions
LSN:	3-319-80101-5
Barcode:	9783319801018

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