[1] Ma L, Wang C, Xiao B, et al. Sparse representation for face recognition based on discriminative low-rank dictionary learning［C］. IEEE Conference on Computer Vision and Pattern Recognition, 2012: 2586-2593.
[2] Yang M, Zhang L, Yang J, et al. Regularized robust coding for face recognition［J］. IEEE Transactions on Image Processing, 2013, 22(5): 2053-2066.
[3] Liu B D, Wang Y X, Zhang Y J, et al. Learning dictionary on manifolds for image classification［J］. Pattern Recognition, 2013, 46(7): 2079-2090.
[4] Li Z Z, Chen J, Hou Q, et al. Sparse representation for infrared dim target detection via a discriminative over-complete dictionary learned online［J］. Sensors, 2014, 14(6): 9451-9470.
[5] Wang N, Wang J, Yeung D Y. Online robust non-negative dictionary learning for visual tracking［C］. IEEE International Conference on Computer Vision, 2013: 657-664.
[6] Bai T, Li Y F, Zhou X. Learning local appearances with sparse representation for robust and fast visual tracking［J］. IEEE Transactions on Cybernetics, 2015, 45(4): 663-675.
[7] Li C, Han Z, Ye Q, et al. Visual abnormal behavior detection based on trajectory sparse reconstruction analysis［J］. Neurocomputing, 2013, 120: 94-100.
[8] Zhou Tongchi, Cheng Xu, Wu Zhenyang. Action recognition using hierarchically tree-structured dictionary encoding［J］. Journal of Image and Graphics, 2014, 20(7): 1054-1061.
[9] Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(2): 210-227.
[10] Naseem I, Togneri R, Bennamoun M. Linear regression for face recognition［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(11): 2106-2112.
[11] Jiang Z, Lin Z, Davis L S. Label consistent K-SVD: learning a discriminative dictionary for recognition［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(11): 2651-2664.
[12] Zhang D, Zhang L, Feng X, et al. Fisher discrimination dictionary learning for sparse representation［C］. IEEE International Conference on Computer Vision, 2011: 543-550.
[13] Li L, Li S, Fu Y. Learning low-rank and discriminative dictionary for image classification［J］. Image and Vision Computing, 2014, 32(10): 814-823.
[14] Zhang H, Zhang Y, Huang T S. Simultaneous discriminative projection and dictionary learning for sparse representation based classification［J］. Pattern Recognition, 2013, 46(1): 346-354.
[15] Gao S, Yu Y, Cheng Y. Linear subspace learning based on a learned discriminative dictionary for sparse coding［C］. International Conference on Computer Vision Theory and Applications, 2013, 1: 530-538.
[16] Guo J, Guo Y, Kong X, et al. Discriminative analysis dictionary learning［C］. AAAI Conference on Artificial Intelligence, 2016: 2016-2023.
[17] Gu S, Zhang L, Zuo W, et al. Projective dictionary pair learning for pattern classification［J］. Advances in Neural Information Processing Systems, 2014, 1: 793-801.
[18] Wright J, Ganesh A, Rao S, et al. Robust principal component analysis: exact recovery of corrupted low-rank matrices via convex optimization［C］. Advances in Neural Information Processing Systems, 2009: 2080-2088.
[19] Liu G, Lin Z, Yan S, et al. Robust recovery of subspace structures by low-rank representation［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(1): 201-204.
[20] Lazebnik S, Schmid C, Ponce J. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories［C］. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006: 2209-2208.
[21] Sadanand S, Corso J. Action bank: a high-level representation of activity in video［C］. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012: 1234-1241.
[22] Zhou Liangji, Li Qingwu, Huo Guanying, et al. Face image recognition method based on the NSCT and bionic pattern［J］. Laser & Optoelectronics Progress, 2015, 52(3): 031001.
[24] Guo Guangming. Research on large-scale face recognition using opto-electronic hybrid matched filtering correlator［J］. Chinese J Lasers, 2013, 40(8): 0809003.
