Regularized locality preserving discriminant embedding for face recognition
For face recognition, graph embedding techniques attempt to produce a high data locality projection for better recognition performance. However, estimation of population data locality could be severely biased due to small number of training samples. The biased estimation triggers overfitting problem...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Science
2012
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/3387/ http://shdl.mmu.edu.my/3387/1/Regularized%20Locality%20Preserving%20Discriminant%20Embedding%20for%20Face%20Recognition.pdf |