133 related articles for article (PubMed ID: 29994229)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data.
Han D; Kim J
IEEE Trans Neural Netw Learn Syst; 2018 Dec; 29(12):6083-6098. PubMed ID: 29993917
[TBL] [Abstract][Full Text] [Related]
9. Sparse PCA via l
Li Z; Nie F; Bian J; Wu D; Li X
IEEE Trans Pattern Anal Mach Intell; 2023 Apr; 45(4):5322-5328. PubMed ID: 34665722
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure.
Zhang R; Zhang H; Li X; Yang S
IEEE Trans Neural Netw Learn Syst; 2022 May; 33(5):2274-2280. PubMed ID: 33382663
[TBL] [Abstract][Full Text] [Related]
13. An Unsupervised Feature Extraction Approach Based on Self-Expression.
Qu H; Zheng Y; Li L; Guo F
Big Data; 2023 Feb; 11(1):18-34. PubMed ID: 35537483
[TBL] [Abstract][Full Text] [Related]
14. Learning Low-Dimensional Latent Graph Structures: A Density Estimation Approach.
Wang L; Li RC
IEEE Trans Neural Netw Learn Syst; 2020 Apr; 31(4):1098-1112. PubMed ID: 31226089
[TBL] [Abstract][Full Text] [Related]
15. Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data.
Chen X; Yuan G; Wang W; Nie F; Chang X; Huang JZ
IEEE Trans Neural Netw Learn Syst; 2018 Dec; 29(12):6362-6373. PubMed ID: 29994271
[TBL] [Abstract][Full Text] [Related]
16. Adaptive Unsupervised Feature Selection With Structure Regularization.
Luo M; Nie F; Chang X; Yang Y; Hauptmann AG; Zheng Q
IEEE Trans Neural Netw Learn Syst; 2018 Apr; 29(4):944-956. PubMed ID: 28141533
[TBL] [Abstract][Full Text] [Related]
17. An Adaptive Unsupervised Feature Selection Algorithm Based on MDS for Tumor Gene Data Classification.
Jin B; Fu C; Jin Y; Yang W; Li S; Zhang G; Wang Z
Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34071066
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Semisupervised feature selection via spline regression for video semantic recognition.
Han Y; Yang Y; Yan Y; Ma Z; Sebe N; Zhou X
IEEE Trans Neural Netw Learn Syst; 2015 Feb; 26(2):252-64. PubMed ID: 25608288
[TBL] [Abstract][Full Text] [Related]
20. Unsupervised Feature Selection via Controllable Adaptive Graph Learning and Discriminative Feature Learning.
Huang P; Xie M; Yang X
IEEE Trans Neural Netw Learn Syst; 2023 Jul; PP():. PubMed ID: 37402197
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]