Multilinear Subspace Learning for Face and Gait Recognition
Face and gait recognition problems are challenging due to largely varying appearances, highly complex pattern distributions, and insufficient training samples. This dissertation focuses on multilinear subspace learning for face and gait recognition, where low-dimensional representations are learned...
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| Format: | Others |
| Language: | en |
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2008
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| Online Access: | http://hdl.handle.net/1807/16750 |