Central subspace dimensionality reduction using covariance operators
We consider the task of dimensionality reduction informed by real-valued multivariate labels. The problem is often treated as Dimensionality Reduction for Regression (DRR), whose goal is to find a low-dimensional representation, the central subspace, of the input data that preserves the statistical...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 33(2011), 4 vom: 01. Apr., Seite 657-70 |
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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 |