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Structural Pattern Recognition with Graph Edit Distance
Approximation Algorithms and Applications
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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§discussed in the book.§§
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