Clustering and embedding using commute times
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation and multi-body motion tracking. Our starting point is the lazy random walk on the graph, which is determined by the heatke...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 29(2007), 11 vom: 11. Nov., Seite 1873-90 |
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| Format: | Article |
| Langue: | English |
| Publié: |
2007
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |