Metric learning for text documents
Many algorithms in machine learning rely on being given a good distance metric over the input space. Rather than using a default metric such as the Euclidean metric, it is desirable to obtain a metric based on the provided data. We consider the problem of learning a Riemannian metric associated with...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 28(2006), 4 vom: 11. Apr., Seite 497-508 |
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| Format: | Aufsatz |
| Sprache: | English |
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2006
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Journal Article |