123 related articles for article (PubMed ID: 26292341)
1. Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA.
Ju F; Sun Y; Gao J; Hu Y; Yin B
IEEE Trans Image Process; 2015 Dec; 24(12):4834-46. PubMed ID: 26292341
[TBL] [Abstract][Full Text] [Related]
2. Probabilistic Linear Discriminant Analysis Based on L
Hu X; Sun Y; Gao J; Hu Y; Ju F; Yin B
IEEE Trans Cybern; 2022 Mar; 52(3):1616-1627. PubMed ID: 32386179
[TBL] [Abstract][Full Text] [Related]
3. Robust L1 principal component analysis and its Bayesian variational inference.
Gao J
Neural Comput; 2008 Feb; 20(2):555-72. PubMed ID: 18045015
[TBL] [Abstract][Full Text] [Related]
4. Joint
Feng CM; Gao YL; Liu JX; Wang J; Wang DQ; Wen CG
Biomed Res Int; 2017; 2017():5073427. PubMed ID: 28470011
[TBL] [Abstract][Full Text] [Related]
5. On the Link Between L1-PCA and ICA.
Martin-Clemente R; Zarzoso V
IEEE Trans Pattern Anal Mach Intell; 2017 Mar; 39(3):515-528. PubMed ID: 27337712
[TBL] [Abstract][Full Text] [Related]
6. An improved mixture robust probabilistic linear discriminant analyzer for fault classification.
Liu Y; Zeng J; Xie L; Lang X; Luo S; Su H
ISA Trans; 2020 Mar; 98():227-236. PubMed ID: 31466729
[TBL] [Abstract][Full Text] [Related]
7. Principal component analysis based on l1-norm maximization.
Kwak N
IEEE Trans Pattern Anal Mach Intell; 2008 Sep; 30(9):1672-80. PubMed ID: 18617723
[TBL] [Abstract][Full Text] [Related]
8. L1 -norm low-rank matrix factorization by variational Bayesian method.
Zhao Q; Meng D; Xu Z; Zuo W; Yan Y
IEEE Trans Neural Netw Learn Syst; 2015 Apr; 26(4):825-39. PubMed ID: 25608312
[TBL] [Abstract][Full Text] [Related]
9. Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.
Ju F; Sun Y; Gao J; Hu Y; Yin B
IEEE Trans Neural Netw Learn Syst; 2018 Oct; 29(10):4579-4592. PubMed ID: 29990067
[TBL] [Abstract][Full Text] [Related]
10. L1-norm kernel discriminant analysis via Bayes error bound optimization for robust feature extraction.
Zheng W; Lin Z; Wang H
IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):793-805. PubMed ID: 24807955
[TBL] [Abstract][Full Text] [Related]
11. A Pure L1-norm Principal Component Analysis.
Brooks J; Dulá J; Boone E
Comput Stat Data Anal; 2013 May; 61():83-98. PubMed ID: 23976807
[TBL] [Abstract][Full Text] [Related]
12. Block Principal Component Analysis With Nongreedy $\ell _{1}$ -Norm Maximization.
Li BN; Yu Q; Wang R; Xiang K; Wang M; Li X
IEEE Trans Cybern; 2016 Nov; 46(11):2543-2547. PubMed ID: 26469852
[TBL] [Abstract][Full Text] [Related]
13. Linear discriminant analysis based on L1-norm maximization.
Zhong F; Zhang J
IEEE Trans Image Process; 2013 Aug; 22(8):3018-27. PubMed ID: 23529087
[TBL] [Abstract][Full Text] [Related]
14. Kernel Entropy Component Analysis with Nongreedy L1-Norm Maximization.
Ji H; Huang S
Comput Intell Neurosci; 2018; 2018():6791683. PubMed ID: 30405708
[TBL] [Abstract][Full Text] [Related]
15. Robust 2DPCA with non-greedy l1 -norm maximization for image analysis.
Wang R; Nie F; Yang X; Gao F; Yao M
IEEE Trans Cybern; 2015 May; 45(5):1108-12. PubMed ID: 25167563
[TBL] [Abstract][Full Text] [Related]
16. Automated spike sorting algorithm based on Laplacian eigenmaps and k-means clustering.
Chah E; Hok V; Della-Chiesa A; Miller JJ; O'Mara SM; Reilly RB
J Neural Eng; 2011 Feb; 8(1):016006. PubMed ID: 21248378
[TBL] [Abstract][Full Text] [Related]
17. PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering.
Feng CM; Gao YL; Liu JX; Zheng CH; Yu J
IEEE Trans Nanobioscience; 2017 Jun; 16(4):257-265. PubMed ID: 28371780
[TBL] [Abstract][Full Text] [Related]
18. Principal Component Analysis Based on Graph Laplacian and Double Sparse Constraints for Feature Selection and Sample Clustering on Multi-View Data.
Wu MJ; Gao YL; Liu JX; Zhu R; Wang J
Hum Hered; 2019; 84(1):47-58. PubMed ID: 31466072
[TBL] [Abstract][Full Text] [Related]
19. $\ell _{2,p}$ -Norm Based PCA for Image Recognition.
Qianqian Wang ; Quanxue Gao ; Xinbo Gao ; Feiping Nie
IEEE Trans Image Process; 2018 Mar; 27(3):1336-1346. PubMed ID: 29989986
[TBL] [Abstract][Full Text] [Related]
20. Outlier modeling for spectral data reduction.
Agahian F; Funt B
J Opt Soc Am A Opt Image Sci Vis; 2014 Jul; 31(7):1445-52. PubMed ID: 25121430
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]