Sparse Multinomial Kernel Discriminant Analysis (sMKDA)
Dimensionality reduction via canonical variate analysis (CVA) is important for pattern recognition and has been extended variously to permit more flexibility, e.g. by "kernelizing" the formulation. This can lead to over-fitting, usually ameliorated by regularization. Here, a method for spa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2009-09-01.
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| Subjects: | |
| Online Access: | Get fulltext |