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Więcej informacji o Structural Pattern Recognition with Graph Edit Distance

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Opis

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.§§

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer science Artificial intelligence

• Pełny tytuł: Structural Pattern Recognition with Graph Edit Distance
• Podtytuł: Approximation Algorithms and Applications
• Autor: Kaspar Riesen
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 158
• EAN: 9783319272511
• ISBN: 3319272519
• ID: 02833024
• Wydawca: Springer International Publishing AG
• Waga: 3849 g
• Wymiary: 235 × 155 × 15 mm
• Data wydania: 09. January 2016

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