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 *

103 related articles for article (PubMed ID: 34043517)

  • 1. Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection.
    Dong Y; Shi W; Du B; Hu X; Zhang L
    IEEE Trans Cybern; 2022 Oct; 52(10):11093-11106. PubMed ID: 34043517
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent.
    Nguyen B; Morell C; De Baets B
    IEEE Trans Cybern; 2020 Mar; 50(3):1072-1083. PubMed ID: 30507546
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Scalable large-margin Mahalanobis distance metric learning.
    Shen C; Kim J; Wang L
    IEEE Trans Neural Netw; 2010 Sep; 21(9):1524-30. PubMed ID: 20709641
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Efficient dual approach to distance metric learning.
    Shen C; Kim J; Liu F; Wang L; van den Hengel A
    IEEE Trans Neural Netw Learn Syst; 2014 Feb; 25(2):394-406. PubMed ID: 24807037
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Distance Metric Learning via Iterated Support Vector Machines.
    Wangmeng Zuo ; Faqiang Wang ; Zhang D; Liang Lin ; Yuchi Huang ; Deyu Meng ; Lei Zhang
    IEEE Trans Image Process; 2017 Oct; 26(10):4937-4950. PubMed ID: 28708554
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adaptive Neighborhood Metric Learning.
    Song K; Han J; Cheng G; Lu J; Nie F
    IEEE Trans Pattern Anal Mach Intell; 2022 Sep; 44(9):4591-4604. PubMed ID: 33856983
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Visible-NIR hyperspectral classification of grass based on multivariate smooth mapping and extreme active learning approach.
    Zhao X; Pan X; Yan W; Zhang S
    Sci Rep; 2022 May; 12(1):9017. PubMed ID: 35637264
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Joint learning adaptive metric and optimal classification hyperplane.
    Wang Y; Yang L
    Neural Netw; 2022 Apr; 148():111-120. PubMed ID: 35114493
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain.
    Luo Y; Wen Y; Liu T; Tao D
    IEEE Trans Pattern Anal Mach Intell; 2019 Apr; 41(4):1013-1026. PubMed ID: 29993977
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology.
    Li X; Bai Y; Peng Y; Du S; Ying S
    Int J Neural Syst; 2018 Mar; 28(2):1750040. PubMed ID: 28982281
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval.
    Yang L; Jin R; Mummert L; Sukthankar R; Goode A; Zheng B; Hoi SC; Satyanarayanan M
    IEEE Trans Pattern Anal Mach Intell; 2010 Jan; 32(1):30-44. PubMed ID: 19926897
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hyperspectral Anomaly Detection by Graph Pixel Selection.
    Yuan Y; Ma D; Wang Q
    IEEE Trans Cybern; 2016 Dec; 46(12):3123-3134. PubMed ID: 26600560
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A fast clustering algorithm for data with a few labeled instances.
    Yang J; Xiao Y; Wang J; Ma Q; Shen Y
    Comput Intell Neurosci; 2015; 2015():196098. PubMed ID: 25861252
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Decomposition-based transfer distance metric learning for image classification.
    Luo Y; Liu T; Tao D; Xu C
    IEEE Trans Image Process; 2014 Sep; 23(9):3789-801. PubMed ID: 24968169
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets.
    Egusquiza I; Picon A; Irusta U; Bereciartua-Perez A; Eggers T; Klukas C; Aramendi E; Navarra-Mestre R
    Front Plant Sci; 2022; 13():813237. PubMed ID: 35356111
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Structured Background Modeling for Hyperspectral Anomaly Detection.
    Li F; Zhang L; Zhang X; Chen Y; Jiang D; Zhao G; Zhang Y
    Sensors (Basel); 2018 Sep; 18(9):. PubMed ID: 30227670
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adaptive Weighted Strategy Based Integrated Surrogate Models for Multiobjective Evolutionary Algorithm.
    Bao K; Fang W; Ding Y
    Comput Intell Neurosci; 2022; 2022():5227975. PubMed ID: 35795763
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Few-Shot Learning With Class-Covariance Metric for Hyperspectral Image Classification.
    Xi B; Li J; Li Y; Song R; Hong D; Chanussot J
    IEEE Trans Image Process; 2022; 31():5079-5092. PubMed ID: 35881603
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Constrained Metric Learning by Permutation Inducing Isometries.
    Bosveld J; Mahmood A; Huynh du Q; Noakes L
    IEEE Trans Image Process; 2016 Jan; 25(1):92-103. PubMed ID: 26595920
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images.
    Bo Du ; Yuxiang Zhang ; Liangpei Zhang ; Dacheng Tao
    IEEE Trans Image Process; 2016 Nov; 25(11):5345-5357. PubMed ID: 27552753
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.