Orthonormal-Face-Recognition
L2 Orthonormal Face Recognition Performance under L2 Regularization Term
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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
Cite As
muhammet balcilar (2026). Orthonormal-Face-Recognition (https://github.com/balcilar/Orthonormal-Face-Recognition), GitHub. Retrieved .
General Information
- Version 1.0.0 (53.6 MB)
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MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
