Nuclear norm based matrix regression with applications to face recognition with occlusion and illumination changes J Yang, L Luo, J Qian, Y Tai, F Zhang, Y Xu IEEE transactions on pattern analysis and machine intelligence 39 (1), 156-171, 2016 | 365 | 2016 |
Review of scene text detection and recognition H Lin, P Yang, F Zhang Archives of computational methods in engineering 27 (2), 433-454, 2020 | 110 | 2020 |
Nuclear norm-based 2-DPCA for extracting features from images F Zhang, J Yang, J Qian, Y Xu IEEE transactions on neural networks and learning systems 26 (10), 2247-2260, 2015 | 90 | 2015 |
Robust nuclear norm regularized regression for face recognition with occlusion J Qian, L Luo, J Yang, F Zhang, Z Lin Pattern Recognition 48 (10), 3145-3159, 2015 | 76 | 2015 |
Local graph embedding based on maximum margin criterion via fuzzy set M Wan, Z Lai, G Yang, Z Yang, F Zhang, H Zheng Fuzzy sets and systems 318, 120-131, 2017 | 59 | 2017 |
Double nuclear norm-based matrix decomposition for occluded image recovery and background modeling F Zhang, J Yang, Y Tai, J Tang IEEE Transactions on Image Processing 24 (6), 1956-1966, 2015 | 45 | 2015 |
Learning discriminative singular value decomposition representation for face recognition Y Tai, J Yang, L Luo, F Zhang, J Qian Pattern Recognition 50, 1-16, 2016 | 21 | 2016 |
Double L2, p-norm based PCA for feature extraction P Huang, Q Ye, F Zhang, G Yang, W Zhu, Z Yang Information Sciences 573, 345-359, 2021 | 19 | 2021 |
Double low rank matrix recovery for saliency fusion J Li, L Luo, F Zhang, J Yang, D Rajan IEEE transactions on image processing 25 (9), 4421-4432, 2016 | 17 | 2016 |
Matrix completion via capped nuclear norm F Zhang, Z Yang, Y Chen, J Yang, G Yang IET Image Processing 12 (6), 959-966, 2018 | 14 | 2018 |
Denoising low-rank discrimination based least squares regression for image classification P Huang, Z Yang, W Wang, F Zhang Information Sciences 587, 247-264, 2022 | 13 | 2022 |
Unsupervised domain adaptation based on cluster matching and Fisher criterion for image classification H Chang, F Zhang, S Ma, G Gao, H Zheng, Y Chen Computers & Electrical Engineering 91, 107041, 2021 | 11 | 2021 |
Hyperspectral image denoising based on low-rank coefficients and orthonormal dictionary F Zhang, G Yang, JH Xue Signal Processing 177, 107738, 2020 | 11 | 2020 |
Spectral classification and particular spectra identification based on data mining P Yang, G Yang, F Zhang, B Jiang, M Wang Archives of Computational Methods in Engineering 28, 917-935, 2021 | 10 | 2021 |
Orthogonal autoencoder regression for image classification Z Yang, X Wu, P Huang, F Zhang, M Wan, Z Lai Information Sciences 618, 400-416, 2022 | 8 | 2022 |
Discriminant maximum margin projections for face recognition Z Yang, P Huang, M Wan, T Zhan, F Zhang, L Luo Multimedia Tools and Applications 78, 23847-23865, 2019 | 6 | 2019 |
Local descriptor margin projections (LDMP) for face recognition Z Yang, P Huang, M Wan, F Zhang, G Yang, C Qian, J Zhang, Z Li International Journal of Machine Learning and Cybernetics 9, 1387-1398, 2018 | 5 | 2018 |
Nuclear norm based 2DPCA F Zhang, J Qian, J Yang 2013 2nd IAPR Asian Conference on Pattern Recognition, 74-78, 2013 | 5 | 2013 |
A linear subspace learning approach via low rank decomposition F Zhang, J Yang 2011 Second International Conference on Innovations in Bio-inspired …, 2011 | 5 | 2011 |
Graph-structure constraint and Schatten p-norm-based unsupervised domain adaptation for image classification H Chang, F Zhang, G Gao, H Zheng Journal of Ambient Intelligence and Humanized Computing, 1-13, 2022 | 4 | 2022 |