Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications
Kaspar Riesen
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.
年:
2016
出版社:
Springer
语言:
english
页:
158
ISBN 10:
3319272519
ISBN 13:
9783319272511
文件:
EPUB, 2.19 MB
IPFS:
,
english, 2016
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