Discriminative structure discovery via dimensionality reduction for facial image manifold
Manifold learning aims to map the original data from a high-dimensional space into a low-dimensional feature space with possible better discriminative structure. In this paper, we propose a supervised manifold learning approach called SubManifold Individuality LEarning (SMILE). In SMILE, the linear...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Springer-Verlag London Ltd
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/12916 |