[1] |
任克强, 张静然 . 基于局部Fisher准则判别投影的人脸识别算法[J]. 传感器与微系统, 2019,38(7): 113-116,120.
|
|
REN K Q , ZHANG J R . Face recognition algorithm based on local Fisher criterion discriminant projections[J]. Transducer and Microsystem Technologies, 2019,38(7): 113-116,120.
|
[2] |
YANG J , ZHANG D , YANG J Y . Constructing PCA baseline algorithms to reevaluate ICA-based face-recognition performance[J]. IEEE Transactions on Systems,Man,and Cybernetics,Part B (Cybernetics), 2007,37(4): 1015-1021.
|
[3] |
刘文华, 李浥东, 王涛 ,等. 基于高维特征表示的交通场景识别[J]. 智能科学与技术学报, 2019,1(4): 392-399.
|
|
LIU W H , LI Y D , WANG T ,et al. Transportation scene recognition based on high level feature representation[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(4): 392-399.
|
[4] |
ZUO W M , ZHANG D , YANG J ,et al. BDPCA plus LDA:a novel fast feature extraction technique for face recognition[J]. IEEE Transactions on Systems,Man,and Cybernetics,Part B (Cybernetics), 2006,36(4): 946-953.
|
[5] |
NIE F P , WANG Z , WANG R ,et al. Adaptive local linear discriminant analysis[J]. ACM Transactions on Knowledge Discovery from Data, 2020,14(1): 1-19.
|
[6] |
HOYER P O , . Non-negative sparse coding[C]// Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing. Piscataway:IEEE Press, 2002: 557-565.
|
[7] |
CAI D , HE X F , HAN J W ,et al. Graph regularized nonnegative matrix factorization for data representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011,33(8): 1548-1560.
|
[8] |
GUAN N Y , TAO D C , LUO Z G ,et al. Manifold regularized discriminative nonnegative matrix factorization with fast gradient descent[J]. IEEE Transactions on Image Processing, 2011,20(7): 2030-2048.
|
[9] |
杜海顺, 张旭东 . 图嵌入正则化投影非负矩阵分解人脸图像特征提取[J]. 中国图象图形学报, 2014,19(8): 1176-1184.
|
|
DU H S , ZHANG X D . Graph embedding regularized projective non-negative matrix factorization for face image feature extraction[J]. Journal of Image and Graphics, 2014,19(8): 1176-1184.
|
[10] |
ZHANG L J , CHEN Z G , ZHENG M ,et al. Robust non-negative matrix factorization[J]. Frontiers of Electrical and Electronic Engineering in China, 2011,6(2): 192-200.
|
[11] |
KONG D G , DING C , HUANG H . Robust nonnegative matrix factorization using L2.1-norm[C]// Proceedings of the 20th ACM International Conference on Information and Knowledge Management. New York:ACM Press, 2011.
|
[12] |
WRIGHT J , MA Y , MAIRAL J ,et al. Sparse representation for computer vision and pattern recognition[J]. Proceedings of the IEEE, 2010,98(6): 1031-1044.
|
[13] |
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.
|
[14] |
YANG M , ZHANG L . Gabor feature based sparse representation for face recognition with Gabor occlusion dictionary[C]// Proceedings of the European Conference on Computer Vision.[S.l.:s.n.], 2010.
|
[15] |
LIU G C , LIN Z C , YAN S C ,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.
|
[16] |
LIU G C , LIN Z C , YONG Y . Robust subspace segmentation by low-rank representation[C]// Proceedings of the International Conference on Machine Learning.[S.l.:s.n.], 2003: 1615-1618.
|
[17] |
LIU G C , LIN Z C , YONG Y . Robust subspace segmentation by low-rank representation[C]// Proceedings of the ICML.[S.l.:s.n.], 2010: 663-670.
|
[18] |
MAZUMDER R , HASTIE T , TIBSHIRANI R . Spectral regularization algorithms for learning large incomplete matrices[J]. The Journal of Machine Learning Research, 2010,11: 2287-2322.
|