117 related articles for article (PubMed ID: 33112751)
1. An Evolutionary Orthogonal Component Analysis Method for Incremental Dimensionality Reduction.
Zhang T; Shen F; Zhu T; Zhao J
IEEE Trans Neural Netw Learn Syst; 2022 Jan; 33(1):392-405. PubMed ID: 33112751
[TBL] [Abstract][Full Text] [Related]
2. An online incremental orthogonal component analysis method for dimensionality reduction.
Zhu T; Xu Y; Shen F; Zhao J
Neural Netw; 2017 Jan; 85():33-50. PubMed ID: 27814465
[TBL] [Abstract][Full Text] [Related]
3. A novel subspace outlier detection method by entropy-based clustering algorithm.
Zuo Z; Li Z; Cheng P; Zhao J
Sci Rep; 2023 Sep; 13(1):15331. PubMed ID: 37714878
[TBL] [Abstract][Full Text] [Related]
4. Supervised Dimensionality Reduction Methods via Recursive Regression.
Liu Y; Zhang R; Nie F; Li X; Ding C
IEEE Trans Neural Netw Learn Syst; 2020 Sep; 31(9):3269-3279. PubMed ID: 31603803
[TBL] [Abstract][Full Text] [Related]
5. Orthogonal self-guided similarity preserving projection for classification and clustering.
Fang X; Xu Y; Li X; Lai Z; Teng S; Fei L
Neural Netw; 2017 Apr; 88():1-8. PubMed ID: 28161499
[TBL] [Abstract][Full Text] [Related]
6. Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning.
Chakraborty R; Yang L; Hauberg S; Vemuri BC
IEEE Trans Pattern Anal Mach Intell; 2021 Nov; 43(11):3904-3917. PubMed ID: 32386140
[TBL] [Abstract][Full Text] [Related]
7. Scatter balance: an angle-based supervised dimensionality reduction.
Liu S; Feng L; Qiao H
IEEE Trans Neural Netw Learn Syst; 2015 Feb; 26(2):277-89. PubMed ID: 25608290
[TBL] [Abstract][Full Text] [Related]
8. REDUS: Finding Reducible Subspaces in High Dimensional Data.
Zhang X; Pan F; Wang W
Proc ACM Int Conf Inf Knowl Manag; 2008; 2008():961-970. PubMed ID: 20689667
[TBL] [Abstract][Full Text] [Related]
9. Central subspace dimensionality reduction using covariance operators.
Kim M; Pavlovic V
IEEE Trans Pattern Anal Mach Intell; 2011 Apr; 33(4):657-70. PubMed ID: 20513923
[TBL] [Abstract][Full Text] [Related]
10. On-line learning of mutually orthogonal subspaces for face recognition by image sets.
Kim TK; Kittler J; Cipolla R
IEEE Trans Image Process; 2010 Apr; 19(4):1067-74. PubMed ID: 20007049
[TBL] [Abstract][Full Text] [Related]
11. Unsupervised robust discriminative manifold embedding with self-expressiveness.
Li J
Neural Netw; 2019 May; 113():102-115. PubMed ID: 30856510
[TBL] [Abstract][Full Text] [Related]
12. Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.
Keshtkaran MR; Yang Z
J Neural Eng; 2017 Jun; 14(3):036003. PubMed ID: 28198354
[TBL] [Abstract][Full Text] [Related]
13. Joint and Progressive Subspace Analysis (JPSA) With Spatial-Spectral Manifold Alignment for Semisupervised Hyperspectral Dimensionality Reduction.
Hong D; Yokoya N; Chanussot J; Xu J; Zhu XX
IEEE Trans Cybern; 2021 Jul; 51(7):3602-3615. PubMed ID: 33175688
[TBL] [Abstract][Full Text] [Related]
14. Local and global preserving semisupervised dimensionality reduction based on random subspace for cancer classification.
Cai X; Wei J; Wen G; Yu Z
IEEE J Biomed Health Inform; 2014 Mar; 18(2):500-7. PubMed ID: 24058037
[TBL] [Abstract][Full Text] [Related]
15. Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning.
Zhao X; Nie F; Wang S; Guo J; Xu P; Chen X
Neural Comput; 2017 May; 29(5):1352-1374. PubMed ID: 28333584
[TBL] [Abstract][Full Text] [Related]
16. A Pareto-Based Sparse Subspace Learning Framework.
Luo J; Jiao L; Liu F; Yang S; Ma W
IEEE Trans Cybern; 2019 Nov; 49(11):3859-3872. PubMed ID: 30040670
[TBL] [Abstract][Full Text] [Related]
17. Approximate Orthogonal Sparse Embedding for Dimensionality Reduction.
Lai Z; Wong WK; Xu Y; Yang J; Zhang D
IEEE Trans Neural Netw Learn Syst; 2016 Apr; 27(4):723-35. PubMed ID: 25955995
[TBL] [Abstract][Full Text] [Related]
18. Local Feature Discriminant Projection.
Yu M; Shao L; Zhen X; He X
IEEE Trans Pattern Anal Mach Intell; 2016 Sep; 38(9):1908-14. PubMed ID: 26552074
[TBL] [Abstract][Full Text] [Related]
19. Rotational Invariant Dimensionality Reduction Algorithms.
Lai Z; Xu Y; Yang J; Shen L; Zhang D
IEEE Trans Cybern; 2017 Nov; 47(11):3733-3746. PubMed ID: 27390196
[TBL] [Abstract][Full Text] [Related]
20. Robust Elastic-Net Subspace Representation.
Eunwoo Kim ; Minsik Lee ; Songhwai Oh
IEEE Trans Image Process; 2016 Sep; 25(9):4245-4259. PubMed ID: 27411222
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
