Fusion of locally linear embedding and principal component analysis for face recognition (FLLEPCA)
We proposed a novel approach for face recognition to address the challenging task of recognition using a fusion of nonlinear dimensional reduction; Locally Linear Embedding (LLE) and Principal Component Analysis (PCA) LLE computes a compact representation of high dimensional data combining the major...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2303/ |