[1] ZHANG H, LAO S. Multi-view discriminant analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(1):188-194. [2] XU C, TAO D, XU C. Multi-view intact space learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(12):2531-2544. [3] YANG M, ZHANG L, YANG J, et al. Metaface learning for sparse representation based face recognition[C]//ICIP 2010:Proceedings of the 2010 IEEE International Conference on Image Processing. Piscataway, NJ:IEEE, 2010:1601-1604. [4] MAIRAL J, BACH F, PONCE J. Task-driven dictionary learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(4):791-804. [5] WANG Z, YANG J, NASRABADI N, et al. A max-margin per-spective on sparse representation-based classification[C]//ICCV 2013:Proceedings of the 2013 IEEE International Conference on Computer Vision. Piscataway, NJ:IEEE, 2013:1217-1224. [6] 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. [7] YANG M, ZHANG L, FENG X, et al. Sparse representation based fisher discrimination dictionary learning for image classification[J]. International Journal of Computer Vision, 2014, 109(3):209-232. [8] GU S, ZHANG L, ZUO W, et al. Projective dictionary pair learning for pattern classification[C]//NIPS 2014:Proceedings of the 2014 Annual Conference on Neural Information Processing Systems. Cambridge:MIT, 2014:793-801. [9] 程晓雅,王春红.基于特征化字典的低秩表示人脸识别[J].计算机应用,2016,36(12):3423-3428.(CHENG X Y, WANG C H. Characterized dictionary-based low-rank representation for face recognition[J]. Journal of Computer Applications, 2016, 36(12):3423-3428.) [10] ZHANG L, YANG M, FENG X. Sparse representation or collaborative representation:which helps face recognition?[C]//ICCV 2011:Proceedings of the 2011 IEEE International Conference on Computer Vision. Piscataway, NJ:IEEE, 2011:471-478. [11] YANG M, ZHANG L. Gabor Feature Based Sparse Representation For Face Recognition With Gabor Occlusion Dictionary[M]. Berlin:Springer, 2010:448-461. [12] TAN X, TRIGGS B. Enhanced local texture feature sets for face recognition under difficult lighting conditions[J]. IEEE Transactions on Image Processing, 2010, 19(6):1635-1650. [13] HINTON G E, SALAKHUTDINOV R R. Reducing the dimensionality of data with neural networks[J]. Science, 2006, 313(5786):504-507. [14] 余凯,贾磊,陈雨强,等.深度学习的昨天、今天和明天[J].计算机研究与发展,2013,50(9):1799-1804.(YU K, JIA L, CHEN Y Q, et al. Deep learning:yesterday, today, and tomorrow[J]. Journal of Computer Research and Development, 2013, 50(9):1799-1804.) [15] BOYD S, PARIKH N, CHU E, et al. Distributed optimization and statistical learning via the alternating direction method of multipliers[J]. Foundations and Trends in Machine Learning, 2011, 3(1):1-122. [16] HUANG G, MATTAR M, LEE H, et al. Learning to align from scratch[C]//NIPS 2012:Proceedings of the 2012 Annual Conference on Neural Information Processing Systems. Cambridge:MIT, 2012:764-772. [17] LECUN Y, BOTTOU L, BENGIO Y, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11):2278-2324. [18] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C]//NIPS 2012:Proceedings of the 2012 Annual Conference on Neural Information Processing Systems. Cambridge:MIT, 2012:1097-1105. |