Orthonormal-Face-Recognition
版本 1.0.0 (53.6 MB) 作者:
muhammet balcilar
L2 Orthonormal Face Recognition Performance under L2 Regularization Term
In research [1], the minimization function has not got any regularization term. To test how the regularization terms has an effect on face recognition accuracy, here we reimplemneted mention algorithm and also proposed new regularization term which is in L2 norm.
[1] Shi, Qinfeng, et al. "Is face recognition really a compressive sensing problem?." Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011
引用格式
muhammet balcilar (2024). Orthonormal-Face-Recognition (https://github.com/balcilar/Orthonormal-Face-Recognition), GitHub. 检索时间: .
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R2016b
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版本 | 已发布 | 发行说明 | |
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1.0.0 |
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