These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

137 related articles for article (PubMed ID: 32400536)

  • 1. Semisupervised classification of hyperspectral images with low-rank representation kernel.
    Ahmadi SA; Mehrshad N
    J Opt Soc Am A Opt Image Sci Vis; 2020 Apr; 37(4):606-613. PubMed ID: 32400536
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning Dual Geometric Low-Rank Structure for Semisupervised Hyperspectral Image Classification.
    Feng Z; Yang S; Wang M; Jiao L
    IEEE Trans Cybern; 2021 Jan; 51(1):346-358. PubMed ID: 30624236
    [TBL] [Abstract][Full Text] [Related]  

  • 3. NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification.
    Su Y; Gao L; Jiang M; Plaza A; Sun X; Zhang B
    IEEE Trans Cybern; 2023 Oct; 53(10):6649-6662. PubMed ID: 36395126
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hyperspectral sensing data analysis based on quasiconformal mapping-based multiple kernels learning machine.
    Li JB; Xie X; Zhai J; Pan JS
    Rev Sci Instrum; 2017 Jun; 88(6):065004. PubMed ID: 28668006
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Kernel Path for Semisupervised Support Vector Machine.
    Zhai Z; Huang H; Gu B
    IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):1512-1522. PubMed ID: 35731767
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of customizing kernel sparse representation for hyperspectral image classification.
    Qi B; Zhao C; Yin G
    Appl Opt; 2015 Feb; 54(4):707-16. PubMed ID: 25967778
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Vicinal support vector classifier using supervised kernel-based clustering.
    Yang X; Cao A; Song Q; Schaefer G; Su Y
    Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints.
    Wang J; Lu CH; Liu JX; Dai LY; Kong XZ
    BMC Bioinformatics; 2019 Dec; 20(Suppl 22):718. PubMed ID: 31888442
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection.
    Wang J; Tang C; Liu X; Zhang W; Li W; Zhu X; Wang L; Zomaya AY
    IEEE Trans Cybern; 2023 Aug; 53(8):5250-5263. PubMed ID: 35994538
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nonlinear Deep Kernel Learning for Image Annotation.
    Jiu M; Sahbi H
    IEEE Trans Image Process; 2017 Apr; 26(4):1820-1832. PubMed ID: 28186895
    [TBL] [Abstract][Full Text] [Related]  

  • 11. SLIC Superpixel-Based
    Zu B; Xia K; Li T; He Z; Li Y; Hou J; Du W
    Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30682823
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A multi-label learning based kernel automatic recommendation method for support vector machine.
    Zhang X; Song Q
    PLoS One; 2015; 10(3):e0120455. PubMed ID: 25893896
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Maize Kernel Vigor under Different Accelerated Aging Times Using Hyperspectral Imaging.
    Feng L; Zhu S; Zhang C; Bao Y; Feng X; He Y
    Molecules; 2018 Nov; 23(12):. PubMed ID: 30477266
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient Multiple Kernel Learning Algorithms Using Low-Rank Representation.
    Niu W; Xia K; Zu B; Bai J
    Comput Intell Neurosci; 2017; 2017():3678487. PubMed ID: 28912801
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.
    Lan L; Wang Z; Zhe S; Cheng W; Wang J; Zhang K
    IEEE Trans Neural Netw Learn Syst; 2019 Feb; 30(2):369-378. PubMed ID: 29994133
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Joint Learning of Correlation-Constrained Fuzzy Clustering and Discriminative Non-Negative Representation for Hyperspectral Band Selection.
    Li Z; Wang W
    Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430753
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Novel kernels for error-tolerant graph classification.
    Neuhaus M; Riesen K; Bunke H
    Spat Vis; 2009; 22(5):425-41. PubMed ID: 19814905
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Semi-supervised weighted kernel clustering based on gravitational search for fault diagnosis.
    Li C; Zhou J
    ISA Trans; 2014 Sep; 53(5):1534-43. PubMed ID: 24981891
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Scaling up graph-based semisupervised learning via prototype vector machines.
    Zhang K; Lan L; Kwok JT; Vucetic S; Parvin B
    IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):444-57. PubMed ID: 25720002
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.