[1] Zafeiriou S, Zhang C, Zhang Z Y. A survey on face detection in the wild: past, present and future[J]. Computer Vision and Image Understanding, 2015, 138: 1–24.
[2] Ren F J, Li Y Q, Hu M, et al. Face recognition method based on multi features description and local fusion classification decision[ J]. Opto-Electronic Engineering, 2016, 43(9): 1–8.
[3] Gong F, Jin W, Fu R D, et al. Face recognition based on the fusion of wavelet packet sub-images and sparse representation[ J]. Opto-Electronic Engineering, 2016, 43(6): 32–38.
[4] Feng H L, Wang Y J, Luo F L. Face recognition based on sparse similarity preserving algorithm[J]. Opto-Electronic Engineering, 2016, 43(6): 19–24.
[5] Yu X, Liu K. Face recognition based on phase measuring profilometry[ J]. Opto-Electronic Engineering, 2016, 43(6): 39–43.
[6] Cootes T F, Taylor C J, Cooper D H, et al. Active shape models- their training and application[J]. Computer Vision and Image Understanding, 1995, 61(1): 38–59.
[7] Cootes T F, Edwards G J, Taylor C J. Active appearance models[ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(6): 681–685.
[8] Turk M A, Pentland A P. Face recognition using eigenfaces[C]// Proceedings of 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1991.
[9] Ahonen T, Hadid A, Pietik inen M. Face description with local binary patterns: application to face recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(12): 2037–2041.
[10] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]//Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, 1: 886–893.
[11] Tirilly P, Claveau V, Gros P. Language modeling for bag-of-visual words image categorization[C]//Proceedings of the 2008 International Conference on Content-Based Image and Video Retrieval, 2008: 249–258.
[12] Belongie S, Malik J, Puzicha J. Shape matching and object recognition using shape contexts[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2002, 24(4): 509–522.
[13] Hinton G E, Osindero S, Teh Y W. A fast learning algorithm for deep belief nets[J]. Neural Computation, 2006, 18(7): 1527–1554.
[14] Bengio Y. Learning deep architectures for AI[J]. Foundations and Trends in Machine Learning, 2009, 2(1): 1–127.
[15] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C]//Neural Information Processing Systems Conference, 2012.
[16] Bruna J, Mallat S. Invariant scattering convolution networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(8): 1872–1886.
[17] Tao R, Deng B, Wang Y. Fractional Fourier Transform and Its Applications[M]. Beijing: Tsinghua University Press, 2009.
[18] Burges C J C. A tutorial on support vector machines for pattern recognition[J]. Data Mining and Knowledge Discovery, 1998, 2(1): 121–167.
[19] Wang Y X, Qi L, Guo X, et al. Fusion of complementary discrete fractional fourier features extracted through sparse PCA in generalized frequency domains for face recognition[J]. Application Research of Computers, 2016, 33(4): 1253–1257.
[20] Sun H J, Chen E Q, Qi L. Face recognition based on the feature fusion in fractional fourier domain[C]//Proceedings of the 12th International Conference on Signal Processing, 2014: 1210–1214.
[21] Liu B W, Wang F. Face recognition approach based on 2D discrete fractional fourier transform[C]//Proceedings of the 3rd International Conference on Communication Software and Networks, 2011: 656–660.
[22] Lanckriet G, Cristianini N, Bartlett P, et al. Learning the kernel matrix with Semi-Definite programming[J]. Journal of Machine Learning Research, 2004, 5: 27–72.
[23] Bach F R, Lanckriet G R G, Jordan M I. Multiple kernel learning, conic duality, and the SMO algorithm[C]//Proceedings of the 21st International Conference on Machine Learning, 2004.
[24] Rakotomamonjy A, Bach F R, Canu S, et al. SimpleMKL[J]. Journal of Machine Learning Research, 2008, 9: 2491–2521.
[25] Sonnenburg S, R tsch G, Sch fer C, et al. Large scale multiple kernel learning[J]. Journal of Machine Learning Research, 2006, 7: 1531–1565.
[26] Varma M, Babu B R. More generality in efficient multiple kernel learning[C]//Proceedings of the 26th Annual International Conference on Machine Learning, 2009: 1065–1072.
[27] Chang C C, Lin C J. LIBSVM: a library for support vector machines[ J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3): 27.