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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Structural Pattern Recognition with Graph Edit Distance
• Subtitle: Approximation Algorithms and Applications
• Author: KASPAR RIESEN
• Language: English
• Binding: Paperback
• Number of pages: 158
• EAN: 9783319801018
• ISBN: 9783319801018
• ID: 19308690
• Publisher: Springer International Publishing AG
• Weight: 454 g
• Dimensions: 235 × 155 × 10 mm
• Date of publishing: 30. March 2018

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