Adaptive discriminant learning for face recognition
Face recognition from Single Sample per Person (SSPP) is extremely challenging because only one sample is available for each person. While many discriminant analysis methods, such as Fisherfaces and its numerous variants, have achieved great success in face recognition, these methods cannot work in...
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Main Authors: | Kan, Meina, Shan, Shiguang, Su, Yu, Xu, Dong, Chen, Xilin |
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Other Authors: | School of Computer Engineering |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/96131 http://hdl.handle.net/10220/18072 |
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Institution: | Nanyang Technological University |
Language: | English |
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