Feature fusion with covariance matrix regularization in face recognition
The fusion of multiple features is important for achieving state-of-the-art face recognition results. This has been proven in both traditional and deep learning approaches. Existing feature fusion methods either reduce the dimensionality of each feature first and then concatenate all low-dimensional...
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Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/87999 http://hdl.handle.net/10220/44512 |
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Institution: | Nanyang Technological University |
Language: | English |
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