299 related articles for article (PubMed ID: 28287996)
1. Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection.
Shang R; Wang W; Stolkin R; Jiao L
IEEE Trans Cybern; 2018 Feb; 48(2):793-806. PubMed ID: 28287996
[TBL] [Abstract][Full Text] [Related]
2. Joint embedding learning and sparse regression: a framework for unsupervised feature selection.
Hou C; Nie F; Li X; Yi D; Wu Y
IEEE Trans Cybern; 2014 Jun; 44(6):793-804. PubMed ID: 23893760
[TBL] [Abstract][Full Text] [Related]
3. A framework of joint graph embedding and sparse regression for dimensionality reduction.
Xiaoshuang Shi ; Zhenhua Guo ; Zhihui Lai ; Yujiu Yang ; Zhifeng Bao ; Zhang D
IEEE Trans Image Process; 2015 Apr; 24(4):1341-55. PubMed ID: 25706635
[TBL] [Abstract][Full Text] [Related]
4. Learning a discriminant graph-based embedding with feature selection for image categorization.
Zhu R; Dornaika F; Ruichek Y
Neural Netw; 2019 Mar; 111():35-46. PubMed ID: 30660101
[TBL] [Abstract][Full Text] [Related]
5. Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control.
Li Z; Tang J
IEEE Trans Image Process; 2015 Dec; 24(12):5343-55. PubMed ID: 26394422
[TBL] [Abstract][Full Text] [Related]
6. Unsupervised feature extraction by low-rank and sparsity preserving embedding.
Zhan S; Wu J; Han N; Wen J; Fang X
Neural Netw; 2019 Jan; 109():56-66. PubMed ID: 30408694
[TBL] [Abstract][Full Text] [Related]
7. Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.
Zhu X; Li X; Zhang S; Ju C; Wu X
IEEE Trans Neural Netw Learn Syst; 2017 Jun; 28(6):1263-1275. PubMed ID: 26955053
[TBL] [Abstract][Full Text] [Related]
8. Unsupervised Feature Selection With Constrained ℓ₂,₀-Norm and Optimized Graph.
Nie F; Dong X; Tian L; Wang R; Li X
IEEE Trans Neural Netw Learn Syst; 2022 Apr; 33(4):1702-1713. PubMed ID: 33361007
[TBL] [Abstract][Full Text] [Related]
9. Unsupervised Feature Selection With Flexible Optimal Graph.
Chen H; Nie F; Wang R; Li X
IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):2014-2027. PubMed ID: 35839204
[TBL] [Abstract][Full Text] [Related]
10. Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasets.
Moslemi A; Ahmadian A
Comput Biol Med; 2023 Dec; 167():107659. PubMed ID: 37950946
[TBL] [Abstract][Full Text] [Related]
11. Discriminative sparse subspace learning and its application to unsupervised feature selection.
Zhou N; Cheng H; Pedrycz W; Zhang Y; Liu H
ISA Trans; 2016 Mar; 61():104-118. PubMed ID: 26803552
[TBL] [Abstract][Full Text] [Related]
12. Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning.
Li X; Zhang H; Zhang R; Nie F
IEEE Trans Image Process; 2020; 29(1):2139-2149. PubMed ID: 31670668
[TBL] [Abstract][Full Text] [Related]
13. Exploiting Combination Effect for Unsupervised Feature Selection by l
Du X; Nie F; Wang W; Yang Y; Zhou X
IEEE Trans Neural Netw Learn Syst; 2019 Jan; 30(1):201-214. PubMed ID: 29994229
[TBL] [Abstract][Full Text] [Related]
14. Generalized Embedding Regression: A Framework for Supervised Feature Extraction.
Lu J; Lai Z; Wang H; Chen Y; Zhou J; Shen L
IEEE Trans Neural Netw Learn Syst; 2022 Jan; 33(1):185-199. PubMed ID: 33147149
[TBL] [Abstract][Full Text] [Related]
15. Unsupervised Discriminative Feature Selection via Contrastive Graph Learning.
Zhou Q; Wang Q; Gao Q; Yang M; Gao X
IEEE Trans Image Process; 2024; 33():972-986. PubMed ID: 38241117
[TBL] [Abstract][Full Text] [Related]
16. Unsupervised feature selection via latent representation learning and manifold regularization.
Tang C; Bian M; Liu X; Li M; Zhou H; Wang P; Yin H
Neural Netw; 2019 Sep; 117():163-178. PubMed ID: 31170576
[TBL] [Abstract][Full Text] [Related]
17. Graph regularized sparse coding for image representation.
Zheng M; Bu J; Chen C; Wang C; Zhang L; Qiu G; Cai D
IEEE Trans Image Process; 2011 May; 20(5):1327-36. PubMed ID: 21047712
[TBL] [Abstract][Full Text] [Related]
18. Robust (semi) nonnegative graph embedding.
Zhang H; Zha ZJ; Yang Y; Yan S; Chua TS
IEEE Trans Image Process; 2014 Jul; 23(7):2996-3012. PubMed ID: 24860032
[TBL] [Abstract][Full Text] [Related]
19. Fast Sparse Discriminative K-Means for Unsupervised Feature Selection.
Nie F; Ma Z; Wang J; Li X
IEEE Trans Neural Netw Learn Syst; 2023 Jan; PP():. PubMed ID: 37022041
[TBL] [Abstract][Full Text] [Related]
20. Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection.
Guo Y; Sun Y; Wang Z; Nie F; Wang F
IEEE Trans Neural Netw Learn Syst; 2023 May; PP():. PubMed ID: 37167052
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
