Structural Pattern Recognition with Graph Edit Distance
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Structural Pattern Recognition with Graph Edit Distance
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Beschreibung
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.
Produktdetails
- Typ:
- Buch
- Einband:
- Taschenbuch
- Edition:
- 1
- Sprachen:
-
Original:
Englisch
- Seitenzahl:
-
172
- Herausgeber:
-
Springer
- Veröffentlichungsdatum:
-
2018-03-30
- ISBN / EAN:
-
9783319801018
- Gewicht:
-
271 g
- Maße:
-
16/24/1 cm
- GPSR-Herstellerreferenz:
-
[email protected]
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