[1] SIROVICH L, KIRBY M. Low-dimensional procedure for the characterization of human faces[J]. Journal of the Optical Society of America A:Optics and Image Science, 1987, 33(4):591-596. [2] LIU R, ZHANG J, WANG L, et al. Research on face recognition method based on combination of SVM and LDA-PCA[C]//Proceedings of the 3nd International Conference on Communications, Signal Processing, and Systems. Berlin:Springer, 2014:101-109. [3] WRIGHT J, YANG A Y, GANESH A, et al. Robust face recognition via sparse representation[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2009, 31(2):210-227. [4] LI C, LIU J, WANG A, et al. Matrix reduction based on generalized PCA method in face recognition[C]//Proceedings of the 20145th International Conference on Digital Home. Piscataway, NJ:IEEE, 2014:35-38. [5] YANG J, ZHANG D, FRANGI A F, et al. Two-dimensional PCA:a new approach to appearance-based face representation and recognition[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2004, 26(1):131-137. [6] ZUO W, ZHANG D, WANG K. Bidirectional PCA with assembled matrix distance metric for image recognition[J]. IEEE Transactions on Systems Man & Cybernetics Part B:Cybernetics, 2006, 36(4):863-872. [7] ZHOU C, WANG L, ZHANG Q, et al. Face recognition based on PCA and logistic regression analysis[J]. Optik-International Journal for Light and Electron Optics, 2014, 125(20):5916-5919. [8] TIAN X, TIAN M. Face recognition using a hybrid algorithm based on improved PCA[C/OL].[2016-10-20].http://www.mendeley.com/research/face-recognition-using-hybrid-algorithm-based-improved-pca/. [9] LUAN X, FANG B, LIU L, et al. Extracting sparse error of robust PCA for face recognition in the presence of varying illumination and occlusion[J]. Pattern Recognition, 2014, 47(2):495-508. [10] MI J X, HUANG D S, WANG B, et al. The nearest-farthest subspace classification for face recognition[J]. Neurocomputing, 2013, 113(7):241-250. [11] CHOI L U, MURCH R D. A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach[J]. IEEE Transactions on Wireless Communications, 2004, 3(1):20-24. [12] ZU K, DE LAMARE R C, HAARDT M. Generalized design of low-complexity block diagonalization type precoding algorithms for multiuser MIMO systems[J]. IEEE Transactions on Communications, 2013, 61(10):4232-4242. [13] LI S Z, LU J. Face recognition using the nearest feature line method[J]. IEEE Transactions on Neural Networks, 1999, 10(2):439-443. [14] CHIEN J T, WU C C. Discriminant waveletfaces and nearest feature classifiers for face recognition[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2003, 24(12):1644-1649. [15] SHI Q, ERIKSSON A, HENGEL A V D, et al. Is face recognition really a compressive sensing problem?[C]//Proceedings of the 2011 IEEE Conference on Computer Vision & Pattern Recognition. Piscataway, NJ:IEEE, 2011:553-560. |