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Structural Pattern Recognition With Graph Edit Distance: Approximation Algorithms and Applications
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Bibliographic Detail
Publisher Springer-Verlag New York Inc
Publication date February 8, 2016
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9783319272511
ISBN-10 3319272519
Dimensions 0.50 by 6.25 by 9.25 in.
Weight 1 lbs.
Original list price $89.99
Summaries and Reviews
Amazon.com description: Product Description:

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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Hardcover
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from Springer-Verlag New York Inc (February 8, 2016)
9783319272511 | details & prices | 6.25 × 9.25 × 0.50 in. | 1.00 lbs | List price $89.99
About: This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED).

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