Unified formulation of linear discriminant analysis methods and optimal parameter selection
In the last decade, many variants of classical linear discriminant analysis (LDA) have been developed to tackle the under-sampled problem in face recognition. However, choosing the variants is not easy since these methods involve eigenvalue decomposition that makes cross-validation computationally e...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Pergamon Press
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/5730 |