BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 34764624)

  • 1. Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications.
    Guo YR; Bai YQ; Li CN; Bai L; Shao YH
    Appl Intell (Dordr); 2022; 52(8):8793-8809. PubMed ID: 34764624
    [TBL] [Abstract][Full Text] [Related]  

  • 2. l
    Zheng W; Lu C; Lin Z; Zhang T; Cui Z; Yang W
    IEEE Trans Neural Netw Learn Syst; 2019 Oct; 30(10):2898-2915. PubMed ID: 30176609
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Robust recursive absolute value inequalities discriminant analysis with sparseness.
    Li CN; Zheng ZR; Liu MZ; Shao YH; Chen WJ
    Neural Netw; 2017 Sep; 93():205-218. PubMed ID: 28651080
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers.
    Li CN; Shao YH; Yin W; Liu MZ
    IEEE Trans Neural Netw Learn Syst; 2020 Mar; 31(3):915-926. PubMed ID: 31094696
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust L1-norm two-dimensional linear discriminant analysis.
    Li CN; Shao YH; Deng NY
    Neural Netw; 2015 May; 65():92-104. PubMed ID: 25721558
    [TBL] [Abstract][Full Text] [Related]  

  • 6. L1-norm kernel discriminant analysis via Bayes error bound optimization for robust feature extraction.
    Zheng W; Lin Z; Wang H
    IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):793-805. PubMed ID: 24807955
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Linear discriminant analysis based on L1-norm maximization.
    Zhong F; Zhang J
    IEEE Trans Image Process; 2013 Aug; 22(8):3018-27. PubMed ID: 23529087
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Complexity-reduced implementations of complete and null-space-based linear discriminant analysis.
    Lu GF; Zheng W
    Neural Netw; 2013 Oct; 46():165-71. PubMed ID: 23764874
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Two-dimensional maximum margin feature extraction for face recognition.
    Yang WH; Dai DQ
    IEEE Trans Syst Man Cybern B Cybern; 2009 Aug; 39(4):1002-12. PubMed ID: 19336330
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fisher discriminant analysis with L1-norm.
    Wang H; Lu X; Hu Z; Zheng W
    IEEE Trans Cybern; 2014 Jun; 44(6):828-42. PubMed ID: 23912504
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis.
    Ye Q; Fu L; Zhang Z; Zhao H; Naiem M
    Neural Netw; 2018 Sep; 105():393-404. PubMed ID: 29940488
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Minimum Eigenvector Collaborative Representation Discriminant Projection for Feature Extraction.
    Hu H; Feng DZ
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32847071
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Efficient and robust feature extraction by maximum margin criterion.
    Li H; Jiang T; Zhang K
    IEEE Trans Neural Netw; 2006 Jan; 17(1):157-65. PubMed ID: 16526484
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generalized discriminant analysis: a matrix exponential approach.
    Zhang T; Fang B; Tang YY; Shang Z; Xu B
    IEEE Trans Syst Man Cybern B Cybern; 2010 Feb; 40(1):186-97. PubMed ID: 19651556
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A multiple maximum scatter difference discriminant criterion for facial feature extraction.
    Song F; Zhang D; Mei D; Guo Z
    IEEE Trans Syst Man Cybern B Cybern; 2007 Dec; 37(6):1599-606. PubMed ID: 18179076
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A linear feature extraction for multiclass classification problems based on class mean and covariance discriminant information.
    Hsieh PF; Wang DS; Hsu CW
    IEEE Trans Pattern Anal Mach Intell; 2006 Feb; 28(2):223-35. PubMed ID: 16468619
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Discriminant learning analysis.
    Peng J; Zhang P; Riedel N
    IEEE Trans Syst Man Cybern B Cybern; 2008 Dec; 38(6):1614-25. PubMed ID: 19022731
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Flexible non-greedy discriminant subspace feature extraction.
    Zhao H; Fu L; Gao Z; Ye Q; Yang Z; Yang X
    Neural Netw; 2019 Aug; 116():166-177. PubMed ID: 31063926
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Two-Dimensional Quaternion Sparse Discriminant Analysis.
    Xiao X; Chen Y; Gong YJ; Zhou Y
    IEEE Trans Image Process; 2019 Oct; ():. PubMed ID: 31670667
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Towards Robust Discriminative Projections Learning via Non-Greedy l
    Nie F; Wang Z; Wang R; Wang Z; Li X
    IEEE Trans Pattern Anal Mach Intell; 2021 Jun; 43(6):2086-2100. PubMed ID: 31880539
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.