187 related articles for article (PubMed ID: 33175688)
1. 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]
2. A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning.
Song W; Zhang X; Yang G; Chen Y; Wang L; Xu H
Sensors (Basel); 2024 Mar; 24(7):. PubMed ID: 38610302
[TBL] [Abstract][Full Text] [Related]
3. Graph regularized spatial-spectral subspace clustering for hyperspectral band selection.
Wang J; Tang C; Zheng X; Liu X; Zhang W; Zhu E
Neural Netw; 2022 Sep; 153():292-302. PubMed ID: 35763881
[TBL] [Abstract][Full Text] [Related]
4. Dimensionality Reduction of Hyperspectral Images Based on Improved Spatial-Spectral Weight Manifold Embedding.
Liu H; Xia K; Li T; Ma J; Owoola E
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32784692
[TBL] [Abstract][Full Text] [Related]
5. Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction.
Hong D; Yokoya N; Chanussot J; Xu J; Zhu XX
ISPRS J Photogramm Remote Sens; 2019 Dec; 158():35-49. PubMed ID: 31853165
[TBL] [Abstract][Full Text] [Related]
6. Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images.
Zhang L; Zhang Q; Du B; Huang X; Tang YY; Tao D
IEEE Trans Cybern; 2018 Jan; 48(1):16-28. PubMed ID: 28113695
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Unsupervised Subspace Learning With Flexible Neighboring.
Yu W; Bian J; Nie F; Wang R; Li X
IEEE Trans Neural Netw Learn Syst; 2023 Apr; 34(4):2043-2056. PubMed ID: 34478380
[TBL] [Abstract][Full Text] [Related]
9. Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning.
Huang H; Shi G; He H; Duan Y; Luo F
IEEE Trans Cybern; 2020 Jun; 50(6):2604-2616. PubMed ID: 30946691
[TBL] [Abstract][Full Text] [Related]
10. Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification.
Hong D; Yokoya N; Ge N; Chanussot J; Zhu XX
ISPRS J Photogramm Remote Sens; 2019 Jan; 147():193-205. PubMed ID: 30774220
[TBL] [Abstract][Full Text] [Related]
11. Semisupervised Classification With Novel Graph Construction for High-Dimensional Data.
Yu Z; Ye F; Yang K; Cao W; Chen CLP; Cheng L; You J; Wong HS
IEEE Trans Neural Netw Learn Syst; 2022 Jan; 33(1):75-88. PubMed ID: 33048763
[TBL] [Abstract][Full Text] [Related]
12. Hybrid manifold embedding.
Liu Y; Liu Y; Chan KC; Hua KA
IEEE Trans Neural Netw Learn Syst; 2014 Dec; 25(12):2295-302. PubMed ID: 25420250
[TBL] [Abstract][Full Text] [Related]
13. Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data.
Cai Y; Zhang Z; Liu X; Ding Y; Li F; Tan J
IEEE Trans Neural Netw Learn Syst; 2024 May; PP():. PubMed ID: 38709608
[TBL] [Abstract][Full Text] [Related]
14. Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection.
Huang S; Zhang H; Xue J; Pizurica A
IEEE Trans Neural Netw Learn Syst; 2023 Nov; 34(11):9259-9273. PubMed ID: 35294365
[TBL] [Abstract][Full Text] [Related]
15. Multiview Clustering by Joint Latent Representation and Similarity Learning.
Xie D; Zhang X; Gao Q; Han J; Xiao S; Gao X
IEEE Trans Cybern; 2020 Nov; 50(11):4848-4854. PubMed ID: 31251209
[TBL] [Abstract][Full Text] [Related]
16. Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning.
Xie Y; Zhang W; Qu Y; Dai L; Tao D
IEEE Trans Cybern; 2020 Feb; 50(2):572-586. PubMed ID: 30281508
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data.
Veganzones MA; Simoes M; Licciardi G; Yokoya N; Bioucas-Dias JM; Chanussot J
IEEE Trans Image Process; 2016 Jan; 25(1):274-88. PubMed ID: 26540685
[TBL] [Abstract][Full Text] [Related]
19. Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering.
Xu Y; Chen S; Li J; Han Z; Yang J
IEEE Trans Cybern; 2022 Jun; 52(6):5408-5418. PubMed ID: 33206621
[TBL] [Abstract][Full Text] [Related]
20. Automatic Subspace Learning via Principal Coefficients Embedding.
Peng X; Lu J; Yi Z; Yan R
IEEE Trans Cybern; 2017 Nov; 47(11):3583-3596. PubMed ID: 27305691
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
