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

Riesen, Kaspar

9783319801018: Structural Pattern Recognition with Graph Edit Distance: Approximation Algorithms and Applications

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ISBN 10 : 3319801015 ISBN 13 : 9783319801018

Editeur : Springer, 2018

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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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2018
ISBN 10 3319801015
ISBN 13 9783319801018
ReliureBroch�
Langueanglais
Nombre de pages172
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9783319272511: Structural Pattern Recognition With Graph Edit Distance: Approximation Algorithms and Applications

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ISBN 10 : 3319272519 ISBN 13 : 9783319272511
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Structural Pattern Recognition with Graph Edit Distance

Kaspar Riesen

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ISBN 10 : 3319801015 ISBN 13 : 9783319801018

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a thorough introduction to the concept of graph edit distance (GED) Describes a selection of diverse GED algorithms with step-by-step examples Presents a unique overview of recent pattern recognition applications based on GED. N� de r�f. du vendeur 448755307

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

Kaspar Riesen

Edit� par Springer International Publishing, Springer International Publishing, 2018

ISBN 10 : 3319801015 ISBN 13 : 9783319801018

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783319801018

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Structural Pattern Recognition with Graph Edit Distance

Kaspar Riesen

Edit� par Springer International Publishing Mrz 2018, 2018

ISBN 10 : 3319801015 ISBN 13 : 9783319801018

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 172 pp. Englisch. N� de r�f. du vendeur 9783319801018

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Structural Pattern Recognition with Graph Edit Distance

Kaspar Riesen

Edit� par Springer International Publishing, Springer Nature Switzerland M�r 2018, 2018

ISBN 10 : 3319801015 ISBN 13 : 9783319801018

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch. N� de r�f. du vendeur 9783319801018

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