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 *

211 related articles for article (PubMed ID: 29990089)

  • 1. Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification.
    Li J; Zhang B; Zhang D
    IEEE Trans Neural Netw Learn Syst; 2018 Sep; 29(9):4272-4286. PubMed ID: 29990089
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification.
    Li J; Lu G; Zhang B; You J; Zhang D
    IEEE Trans Cybern; 2021 Feb; 51(2):534-547. PubMed ID: 31170087
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Visual Classification With Multikernel Shared Gaussian Process Latent Variable Model.
    Li J; Zhang B; Lu G; Ren H; Zhang D
    IEEE Trans Cybern; 2019 Aug; 49(8):2886-2899. PubMed ID: 29994781
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance.
    Li J; Zhang B; Lu G; Xu Y; Wu F; Zhang D
    IEEE Trans Neural Netw Learn Syst; 2021 Nov; 32(11):5093-5107. PubMed ID: 33027008
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multimodal Similarity Gaussian Process Latent Variable Model.
    Song G; Wang S; Huang Q; Tian Q
    IEEE Trans Image Process; 2017 Sep; 26(9):4168-4181. PubMed ID: 28600247
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Discriminative shared Gaussian processes for multiview and view-invariant facial expression recognition.
    Eleftheriadis S; Rudovic O; Pantic M
    IEEE Trans Image Process; 2015 Jan; 24(1):189-204. PubMed ID: 25438312
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Supervised latent linear Gaussian process latent variable model for dimensionality reduction.
    Jiang X; Gao J; Wang T; Zheng L
    IEEE Trans Syst Man Cybern B Cybern; 2012 Dec; 42(6):1620-32. PubMed ID: 22623433
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering.
    Li P; Chen S
    IEEE Trans Cybern; 2020 Jan; 50(1):61-73. PubMed ID: 30176618
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A latent manifold Markovian dynamics Gaussian process.
    Chatzis SP; Kosmopoulos D
    IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):70-83. PubMed ID: 25532157
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.
    Zhang Z; Zhu Q; Xie GS; Chen Y; Li Z; Wang S
    Neural Netw; 2020 Mar; 123():94-107. PubMed ID: 31837517
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Partially shared latent factor learning with multiview data.
    Liu J; Jiang Y; Li Z; Zhou ZH; Lu H
    IEEE Trans Neural Netw Learn Syst; 2015 Jun; 26(6):1233-46. PubMed ID: 25095265
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets.
    Wang W; Wang R; Huang Z; Shan S; Chen X
    IEEE Trans Image Process; 2018 Jan.; 27(1):151-163. PubMed ID: 28866497
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Zero-Shot Learning via Robust Latent Representation and Manifold Regularization.
    Meng M; Yu J
    IEEE Trans Image Process; 2019 Apr; 28(4):1824-1836. PubMed ID: 30452368
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge.
    Tao J; Zhou D; Zhu B
    Neural Netw; 2018 May; 101():79-93. PubMed ID: 29494874
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Marginalized Multiview Ensemble Clustering.
    Tao Z; Liu H; Li S; Ding Z; Fu Y
    IEEE Trans Neural Netw Learn Syst; 2020 Feb; 31(2):600-611. PubMed ID: 30990450
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Supervised Gaussian process latent variable model for dimensionality reduction.
    Gao X; Wang X; Tao D; Li X
    IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):425-34. PubMed ID: 20699213
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection.
    Yao Y; Ma J; Feng S; Ye Y
    Neural Netw; 2024 Feb; 170():535-547. PubMed ID: 38043373
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Manifold adversarial training for supervised and semi-supervised learning.
    Zhang S; Huang K; Zhu J; Liu Y
    Neural Netw; 2021 Aug; 140():282-293. PubMed ID: 33839600
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.