Semisupervised Kernel Marginal Fisher Analysis for Face Recognition
Dimensionality reduction is a key problem in face recognition due to the high-dimensionality of face image. To effectively cope with this problem, a novel dimensionality reduction algorithm called semisupervised kernel marginal Fisher analysis (SKMFA) for face recognition is proposed in this paper....
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791838/ |