Globally maximizing, locally minimizing : unsupervised discriminant projection with applications to face and palm biometrics
This paper develops an unsupervised discriminant projection (UDP) technique for dimensionality reduction of high-dimensional data in small sample size cases. UDP can be seen as a linear approximation of a multimanifolds-based learning framework which takes into account both the local and nonlocal qu...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 29(2007), 4 vom: 13. Apr., Seite 650-64 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article |
| Langue: | English |
| Publié: |
2007
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Evaluation Study Journal Article Research Support, Non-U.S. Gov't |