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Item Details
| Title:
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STRUCTURAL PATTERN RECOGNITION WITH GRAPH EDIT DISTANCE
APPROXIMATION ALGORITHMS AND APPLICATIONS |
| By: |
Kaspar Riesen |
| Format: |
Hardback |
| List price:
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£89.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3319272519 |
| ISBN 13: |
9783319272511 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
9 January, 2016 |
| Edition: |
1st ed. 2015 |
| Series: |
Advances in Computer Vision and Pattern Recognition |
| Pages: |
158 |
| 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. |
| Illustrations: |
4 Tables, color; 28 Tables, black and white; 24 Illustrations, color; 4 |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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