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 *

274 related articles for article (PubMed ID: 35405474)

  • 1. Learning a discriminative SPD manifold neural network for image set classification.
    Wang R; Wu XJ; Chen Z; Xu T; Kittler J
    Neural Netw; 2022 Jul; 151():94-110. PubMed ID: 35405474
    [TBL] [Abstract][Full Text] [Related]  

  • 2. U-SPDNet: An SPD manifold learning-based neural network for visual classification.
    Wang R; Wu XJ; Xu T; Hu C; Kittler J
    Neural Netw; 2023 Apr; 161():382-396. PubMed ID: 36780861
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SPD Manifold Deep Metric Learning for Image Set Classification.
    Wang R; Wu XJ; Chen Z; Hu C; Kittler J
    IEEE Trans Neural Netw Learn Syst; 2024 Jul; 35(7):8924-8938. PubMed ID: 38470600
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices.
    Tang F; Fan M; Tino P
    IEEE Trans Neural Netw Learn Syst; 2021 Jan; 32(1):281-292. PubMed ID: 32203035
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification.
    Wang R; Wu XJ; Kittler J
    IEEE Trans Neural Netw Learn Syst; 2022 May; 33(5):2208-2222. PubMed ID: 33784627
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Probabilistic learning vector quantization on manifold of symmetric positive definite matrices.
    Tang F; Feng H; Tino P; Si B; Ji D
    Neural Netw; 2021 Oct; 142():105-118. PubMed ID: 33984734
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Dimensionality Reduction of SPD Data Based on Riemannian Manifold Tangent Spaces and Isometry.
    Gao W; Ma Z; Gan W; Liu S
    Entropy (Basel); 2021 Aug; 23(9):. PubMed ID: 34573742
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity.
    You K; Park HJ
    Neuroimage; 2021 Jan; 225():117464. PubMed ID: 33075555
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Adaptive Log-Euclidean Metrics for SPD Matrix Learning.
    Chen Z; Song Y; Xu T; Huang Z; Wu XJ; Sebe N
    IEEE Trans Image Process; 2024; 33():5194-5205. PubMed ID: 39283773
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold.
    Gao Z; Wu Y; Harandi M; Jia Y
    IEEE Trans Neural Netw Learn Syst; 2020 Sep; 31(9):3230-3244. PubMed ID: 31567102
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network.
    Dan T; Huang Z; Cai H; Laurienti PJ; Wu G
    IEEE Trans Med Imaging; 2022 Oct; 41(10):2752-2763. PubMed ID: 35452386
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods.
    Harandi M; Salzmann M; Hartley R
    IEEE Trans Pattern Anal Mach Intell; 2018 Jan; 40(1):48-62. PubMed ID: 28103548
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices.
    Xie X; Yu ZL; Lu H; Gu Z; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2017 Jun; 25(6):504-516. PubMed ID: 27392361
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Riemannian gradient methods for stochastic composition problems.
    Huang F; Gao S
    Neural Netw; 2022 Sep; 153():224-234. PubMed ID: 35753201
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video.
    Huang Z; Wang R; Shan S; Van Gool L; Chen X
    IEEE Trans Pattern Anal Mach Intell; 2018 Dec; 40(12):2827-2840. PubMed ID: 29990185
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.
    Jayasumana S; Hartley R; Salzmann M; Li H; Harandi M
    IEEE Trans Pattern Anal Mach Intell; 2015 Dec; 37(12):2464-77. PubMed ID: 26539851
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite Manifold.
    Tang F; Tino P; Yu H
    IEEE Trans Cybern; 2023 Aug; 53(8):5178-5190. PubMed ID: 35700257
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications.
    Wu Y; Jia Y; Li P; Zhang J; Yuan J
    IEEE Trans Image Process; 2015 Nov; 24(11):3729-41. PubMed ID: 26151938
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sparse Representation Over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer.
    Das A; Nair MS; Peter SD
    IEEE Trans Image Process; 2019 Mar; 28(3):1248-1260. PubMed ID: 30346284
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Uncovering shape signatures of resting-state functional connectivity by geometric deep learning on Riemannian manifold.
    Dan T; Huang Z; Cai H; Lyday RG; Laurienti PJ; Wu G
    Hum Brain Mapp; 2022 Sep; 43(13):3970-3986. PubMed ID: 35538672
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.