Книга Structural Pattern Recognition with Graph Edit Distance KASPAR RIESEN

Structural Pattern Recognition with Graph Edit Distance

Approximation Algorithms and Applications

Автор: KASPAR RIESEN
Език: Английски език
Корици: С меки корици
Наличност: Външен склад
Изпращаме след 8-11 дни
105.50 206.33 лв
This unique text/reference presents a thorough introduction to the field of structural pattern recog...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2018
страници
158
EAN
9783319801018
ISBN
9783319801018
Enbook ID
19308690
Теглоt
454
Размери
155 x 235 x 10

Пълно описание

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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