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portada Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications
Type
Physical Book
Author
Publisher
Language
English
Pages
158
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.1 cm
Weight
0.42 kg.
ISBN13
9783319272511
Categories

Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications

Kaspar Riesen (Author) · Springer · Hardcover

Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications - Riesen, Kaspar

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Synopsis "Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications "

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.

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