Local distance functions : a taxonomy, new algorithms, and an evaluation
We present a taxonomy for local distance functions where most existing algorithms can be regarded as approximations of the geodesic distance defined by a metric tensor. We categorize existing algorithms by how, where, and when they estimate the metric tensor. We also extend the taxonomy along each a...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 33(2011), 4 vom: Apr., Seite 794-806 |
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| Format: | Article en ligne |
| Langue: | English |
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2011
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |