References

Bhattacharyya, S.K. and K. Rahul, 2013. Face recognition by linear discriminant analysis. Intl. J. Commun. Netw. Secur., 2: 31-35.
Direct Link  |  

Chen, S.B., C.H. Ding and B. Luo, 2014. Extended linear regression for undersampled face recognition. Visual Commun. Image Represent., 25: 1800-1809.
Direct Link  |  

Cheng, Y., Z. Jin, T. Gao, H. Chen and N. Kasabov, 2016. An improved collaborative representation based classification with Regularized Least Square (CRC-RLS) method for robust face recognition. Neurocomput., 215: 250-259.
Direct Link  |  

Chu, C.H., S.H. Huang, C.K. Yang and C.Y. Tseng, 2015. Design customization of respiratory mask based on 3D face anthropometric data. Intl. J. Precis. Eng. Manuf., 16: 487-494.
CrossRef  |  

Huang, P., Z. Lai, G. Gao, G. Yang and Z. Yang, 2016. Adaptive linear discriminant regression classification for face recognition. Digital Signal Process., 55: 78-84.
Direct Link  |  

Huang, S.M. and J.F. Yang, 2013. Linear discriminant regression classification for face recognition. IEEE. Signal Process. Lett., 20: 91-94.
CrossRef  |  Direct Link  |  

Jin, Y., J. Cao, Y. Wang and R. Zhi, 2016. Ensemble based extreme learning machine for cross-modality face matching. Multimedia Tools Appl., 75: 11831-11846.
Direct Link  |  

Liu, Y.L., D.R. Zhu, D.X. Zhang and F. Liu, 2015. A linear regression based face recognition method by extending probe images. Optik Intl. J. Light Electron. Opt., 126: 3335-3339.
Direct Link  |  

Lu, Y., X. Fang and B. Xie, 2014. Kernel linear regression for face recognition. Neural Comput. Appl., 24: 1843-1849.
Direct Link  |  

Luan, X., B. Fang, L. Liu, W. Yang and J. Qian, 2014. Extracting sparse error of robust PCA for face recognition in the presence of varying illumination and occlusion. Pattern Recognit., 47: 495-508.
Direct Link  |  

Paul, L.C. and A. Al Sumam, 2012. Face recognition using principal component analysis method. Intl. J. Adv. Res. Comput. Eng. Technol., 1: 135-139.
Direct Link  |  

Philips, P.J., 1999. Support vector machines applied to face recognition. Proceedings of the 1998 Conference on Advances in Neural Information Processing Systems II, (ANIPS'99), MIT Press Cambridge, MA, USA., pp: 803-809.

Vishwanath, P. and V.M. Viswanatha, 2016. Face classification using Widrow-Hoff learning Parallel Linear Collaborative Discriminant Regression (WH-PLCDRC). J. Theor. Appl. Inf. Technol., 89: 362-371.
Direct Link  |  

Vyas, R. and G. Garg, 2012. Face recognition using feature extraction and neuro-fuzzy techniques. Intl. J. Electron. Comput. Sci. Eng., 1: 2048-2056.