Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space
Subspace learning is an essential approach for learning a low dimensional representation of a high dimensional space. When data samples are represented as points in a high dimensional space, learning with the high dimensionality becomes challenging as the effectiveness and efficiency of the learn...
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| Format: | Thèse |
| Langue: | anglais |
| Publié: |
2021
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| Accès en ligne: | http://eprints.usm.my/51628/ |
| Abstract | Abstract here |