| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10360893 | Pattern Recognition | 2013 | 15 Pages |
Abstract
⺠We propose an explicit graph embedding method. ⺠We perform multilevel analysis of graph to extract global, topological/structural and attribute information. ⺠We use homogeneity of subgraphs in graph for extracting topological/structural details. ⺠We encode numeric information by fuzzy histograms and symbolic information by crisp histograms. ⺠Our method outperforms graph embedding methods for richly attributed graphs.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep Lladós, Thierry Brouard,