115 related articles for article (PubMed ID: 28809683)
1. Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification.
Shuo Chen ; Jian Yang ; Lei Luo ; Yang Wei ; Kaihua Zhang ; Ying Tai
IEEE Trans Image Process; 2017 Nov; 26(11):5519-5530. PubMed ID: 28809683
[TBL] [Abstract][Full Text] [Related]
2. Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise.
Luo L; Yang J; Qian J; Tai Y; Lu GF
IEEE Trans Neural Netw Learn Syst; 2017 Sep; 28(9):2168-2182. PubMed ID: 28113521
[TBL] [Abstract][Full Text] [Related]
3. Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition.
Xie J; Yang J; Qian JJ; Tai Y; Zhang HM
IEEE Trans Image Process; 2017 May; 26(5):2286-2295. PubMed ID: 28166496
[TBL] [Abstract][Full Text] [Related]
4. Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.
Yang J; Luo L; Qian J; Tai Y; Zhang F; Xu Y
IEEE Trans Pattern Anal Mach Intell; 2017 Jan; 39(1):156-171. PubMed ID: 26930675
[TBL] [Abstract][Full Text] [Related]
5. Double nuclear norm-based matrix decomposition for occluded image recovery and background modeling.
Zhang F; Yang J; Tai Y; Tang J
IEEE Trans Image Process; 2015 Jun; 24(6):1956-66. PubMed ID: 25667350
[TBL] [Abstract][Full Text] [Related]
6. Self-supervised sparse coding scheme for image classification based on low rank representation.
Li A; Chen D; Wu Z; Sun G; Lin K
PLoS One; 2018; 13(6):e0199141. PubMed ID: 29924830
[TBL] [Abstract][Full Text] [Related]
7. Efficient l1 -norm-based low-rank matrix approximations for large-scale problems using alternating rectified gradient method.
Kim E; Lee M; Choi CH; Kwak N; Oh S
IEEE Trans Neural Netw Learn Syst; 2015 Feb; 26(2):237-51. PubMed ID: 25608287
[TBL] [Abstract][Full Text] [Related]
8. Reweighted Low-Rank Matrix Analysis With Structural Smoothness for Image Denoising.
Wang H; Cen Y; He Z; He Z; Zhao R; Zhang F
IEEE Trans Image Process; 2018 Apr; 27(4):1777-1792. PubMed ID: 29346094
[TBL] [Abstract][Full Text] [Related]
9. Robust Latent Subspace Learning for Image Classification.
Fang X; Teng S; Lai Z; He Z; Xie S; Wong WK; Xiaozhao Fang ; Shaohua Teng ; Zhihui Lai ; Zhaoshui He ; Shengli Xie ; Wai Keung Wong ; He Z; Wong WK; Xie S; Fang X; Lai Z; Teng S
IEEE Trans Neural Netw Learn Syst; 2018 Jun; 29(6):2502-2515. PubMed ID: 28500010
[TBL] [Abstract][Full Text] [Related]
10. Matrix variate distribution-induced sparse representation for robust image classification.
Chen J; Yang J; Luo L; Qian J; Xu W
IEEE Trans Neural Netw Learn Syst; 2015 Oct; 26(10):2291-300. PubMed ID: 25700472
[TBL] [Abstract][Full Text] [Related]
11. Patch-Based Image Inpainting via Two-Stage Low Rank Approximation.
Guo Q; Gao S; Zhang X; Yin Y; Zhang C
IEEE Trans Vis Comput Graph; 2018 Jun; 24(6):2023-2036. PubMed ID: 28500005
[TBL] [Abstract][Full Text] [Related]
12. Fast and accurate matrix completion via truncated nuclear norm regularization.
Hu Y; Zhang D; Ye J; Li X; He X
IEEE Trans Pattern Anal Mach Intell; 2013 Sep; 35(9):2117-30. PubMed ID: 23868774
[TBL] [Abstract][Full Text] [Related]
13. Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal.
Ge Q; Jing XY; Wu F; Wei ZH; Xiao L; Shao WZ; Yue D; Li HB
IEEE Trans Image Process; 2017 Jul; 26(7):3098-3112. PubMed ID: 28113320
[TBL] [Abstract][Full Text] [Related]
14. A Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error for Matrix Completion.
Qing Liu ; Zhihui Lai ; Zongwei Zhou ; Fangjun Kuang ; Zhong Jin
IEEE Trans Image Process; 2016 Jan; 25(1):316-30. PubMed ID: 26625414
[TBL] [Abstract][Full Text] [Related]
15. Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification.
Luo L; Yang J; Zhang B; Jiang J; Huang H
IEEE Trans Neural Netw Learn Syst; 2018 Nov; 29(11):5330-5344. PubMed ID: 29994456
[TBL] [Abstract][Full Text] [Related]
16. Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal.
Kyong Hwan Jin ; Jong Chul Ye
IEEE Trans Image Process; 2018 Mar; 27(3):1448-1461. PubMed ID: 29990155
[TBL] [Abstract][Full Text] [Related]
17. Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator.
Li C; Xie HB; Fan X; Xu RYD; Van Huffel S; Sisson SA; Mengersen K
IEEE Trans Image Process; 2019 Oct; 28(10):4899-4911. PubMed ID: 31034412
[TBL] [Abstract][Full Text] [Related]
18. Low-rank discriminative regression learning for image classification.
Lu Y; Lai Z; Wong WK; Li X
Neural Netw; 2020 May; 125():245-257. PubMed ID: 32146355
[TBL] [Abstract][Full Text] [Related]
19. CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking.
Zhang J; Xiong R; Zhao C; Zhang Y; Ma S; Gao W
IEEE Trans Image Process; 2016 Mar; 25(3):1246-59. PubMed ID: 26761774
[TBL] [Abstract][Full Text] [Related]
20. Learning Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction.
Ren Z; Sun Q; Wu B; Zhang X; Yan W
IEEE Trans Image Process; 2020; 29(1):2094-2107. PubMed ID: 31502975
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]