Structural Pattern Recognition with Graph Edit Distance
Produktnummer:
181bd42391f00a464e800eeba8b48296a0
| Autor: | Riesen, Kaspar |
|---|---|
| Themengebiete: | Bipartite Graph Matching Graph Based Pattern Representation Graph Edit Distance Sorted Beam Search Structural Pattern Recognition data structures |
| Veröffentlichungsdatum: | 08.02.2016 |
| EAN: | 9783319272511 |
| Sprache: | Englisch |
| Seitenzahl: | 158 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Untertitel: | Approximation Algorithms and Applications |
Produktinformationen "Structural Pattern Recognition with Graph Edit Distance"
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.
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