参考文献/References:
[1] Weiss K,Khoshgoftaar T M,Wang Dingding.A survey of transfer learning [J].Journal of Big Data,2016,3(1):1-40.
[2] Dai Wenyuan,Yang Qiang,Xue Guirong,et al.Boosting for transfer learning [EB/OL].[2020-11-23].https://doi.org/10.1145/1273496.1273521.
[3] Pan Sinno Jialin,Yang Qiang.A survey on transfer learning [J].IEEE Transactions on Knowledge and Data Engineering,2010,22(10):1345-1359.
[4] 庄福振,罗平,何清,等.迁移学习研究进展 [J].软件学报,2015,26(1):26-39.
[5] Lin Zhouchen,Zhang Chao,Zhou Pan.Integrated low-rank-based discriminative feature learning for recognition [J].IEEE Transactions on Neural Networks and Learning Systems,2016,27(5):1080-1093.
[6] Liu Guangcan,Lin Zhouchen,Yan Shuicheng,et al.Robust recovery of subspace structures by low-rank representation [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(1):171-184.
[7] Liu Guangcan,Yan Shuichen.Latent low-rank representation for subspace segmentation and feature extraction [EB/OL].[2020-06-17].https://dl.acm.org/doi/10.1109/ICCV.2011.6126422.
[8] Fang Xiaozhao,Han Na,Wu Jigang,et al.Approximate low-rank projection learning for feature extraction [J].IEEE Transactions on Neural Networks and Learning Systems,2018,29(11):5228-5241.
[9] 靳洋.基于PCA/ICA的图像特征提取算法研究 [D].西安:西安电子科技大学,2014.
[10] Hervé Abdi,Williams L J.Principal component analysis [J].Wiley Interdisciplinary Reviews Computational Statistics,2010,2(4):433-459.
[11] Pan Sinno Jialin,Tsang I W,Kwok J T,et al.Domain adaptation via transfer component analysis [J].IEEE Transactions on Neural Networks,2011,22(2):199-210.
[12] 屈磊,方怡,熊友玲,等.基于L2,1模和图正则化的低秩迁移子空间学习 [J].控制理论与应用,2018,35(12):1738-1749.
[13] Georghiades A S,Belhumeur P N,Kriegman D J.From few to many:illumination cone models for face recognition under variable lighting and pose [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,23(6):643-660.
[14] 吴越,曾向荣,周典乐,等.图像恢复中的稳健交替方向乘子法 [J].国防科技大学学报,2018,40(2):115-121.
[15] Tai Ying,Yang Jian,Zhang Yigong,et al.Face recognition with pose variations and misalignment via orthogonal procrustes regression [J].IEEE Transactions on Image Processing,2016,25(6):2673-2683.
[16] Fridman E.Descriptor discretized Lyapunov functional method [J].IFAC Proceedings Volumes,2006,39(9):638-643.
[17] Yang Junfeng,Yin Wotao,Zhang Yin,et al.A fast algorithm for edge-preserving variational multichannel image restoration [J].SIAM Journal on Imaging Sciences,2009,2(2):569-592.
[18] Rate C,Retrieval C.Columbia object image library(COIL-20)[EB/OL].[2020-06-17].https://www.igi-global.com/pdf.aspx?tid=104931&ptid=46172&ctid=17&t=index.
[19] Galleguillos C,Mcfee B,Belongie S,et al.From region similarity to category discovery [EB/OL].[2020-06-17].https://dl.acm.org/doi/10.1109/CVPR.2011.5995527.
[20] Fernando B,Tommasi T,Tuytelaars T.Joint cross-domain classification and subspace learning for unsupervised adaptation [J].Pattern Recognition Letters,2015,65(1):60-66.
[21] Liang Jian,He Ran,Sun Zhenan,et al.Aggregating randomized clustering-promoting invariant projections for domain adaptation [EB/OL].[2020-12-11].https://ieeexplore.ieee.org/document/8353356.
[22] Gong Boqing,Shi Yuan,Sha Fei,et al.Geodesic flow kernel for unsupervised domain adaptation [EB/OL].[2020-06-17].https://ieeexplore.ieee.org/document/6247911.
[23] Shao Ming,Kit D,Fu Yun.Generalized transfer subspace learning through low-rank constraint [J].International Journal of Computer Vision,2014,109(1/2):74-93.
[24] Yang Meng,Zhang Lei,Feng Xiangchu,et al.Sparse representation based fisher discrimination dictionary learning for image classification [J].International Journal of Computer Vision,2014,109(3):209-232.
[25] Zhang Jing,Li Wanqing,Ogunbona P.Joint geometrical and statistical alignment for visual domain adaptation [EB/OL].[2020-06-17].http://www.doc88.com/p-2374903824918.html.
[26] Zhu Fan,Shao Ling.Weakly-supervised cross-domain dictionary learning for visual recognition [J].International Journal of Computer Vision,2014,109(1/2):42-59.
[27] Wang Jindong,Feng Wenjie,Chen Yiqiang,et al.Visual domain adaptation with manifold embedded distribution alignment [EB/OL].[2020-06-17].https://arxiv.org/abs/1807.07258.
[28] Jia Zehui,Guo Ke,Cai Xingju.Convergence analysis of alternating direction method of multipliers for a class of separable convex programming [J].Abstract and Applied Analysis,2013(2):205-215.
[29] Hong Mingyi,Luo Zhijuan,Razaviyayn M.Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems [EB/OL].[2020-06-17].https://arxiv.org/abs/1410.1390.
[30] Hong Mingyi,Luo Zhijuan.On the linear convergence of the alternating direction method of multipliers [J].Mathematical Programming,2012,162(1/2):1-29.