BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

265 related articles for article (PubMed ID: 19447714)

  • 1. Semi-supervised bilinear subspace learning.
    Xu D; Yan S
    IEEE Trans Image Process; 2009 Jul; 18(7):1671-6. PubMed ID: 19447714
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ubiquitously supervised subspace learning.
    Yang J; Yan S; Huang TS
    IEEE Trans Image Process; 2009 Feb; 18(2):241-9. PubMed ID: 19126470
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Enhancing bilinear subspace learning by element rearrangement.
    Xu D; Yan S; Lin S; Huang TS; Chang SF
    IEEE Trans Pattern Anal Mach Intell; 2009 Oct; 31(10):1913-20. PubMed ID: 19696459
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Distance approximating dimension reduction of Riemannian manifolds.
    Chen C; Zhang J; Fleischer R
    IEEE Trans Syst Man Cybern B Cybern; 2010 Feb; 40(1):208-17. PubMed ID: 19622439
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SemiBoost: boosting for semi-supervised learning.
    Mallapragada PK; Jin R; Jain AK; Liu Y
    IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2000-14. PubMed ID: 19762927
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction.
    Nie F; Xu D; Tsang IW; Zhang C
    IEEE Trans Image Process; 2010 Jul; 19(7):1921-32. PubMed ID: 20215078
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semi-supervised learning via regularized boosting working on multiple semi-supervised assumptions.
    Chen K; Wang S
    IEEE Trans Pattern Anal Mach Intell; 2011 Jan; 33(1):129-43. PubMed ID: 20421671
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi-supervised subspace learning for Mumford-Shah model based texture segmentation.
    Law YN; Lee HK; Yip AM
    Opt Express; 2010 Mar; 18(5):4434-48. PubMed ID: 20389456
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Self-training-based face recognition using semi-supervised linear discriminant analysis and affinity propagation.
    Gan H; Sang N; Huang R
    J Opt Soc Am A Opt Image Sci Vis; 2014 Jan; 31(1):1-6. PubMed ID: 24561932
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Learning with l1-graph for image analysis.
    Cheng B; Yang J; Yan S; Fu Y; Huang TS
    IEEE Trans Image Process; 2010 Apr; 19(4):858-66. PubMed ID: 20031500
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semisupervised multitask learning.
    Liu Q; Liao X; Carin HL; Stack JR; Carin L
    IEEE Trans Pattern Anal Mach Intell; 2009 Jun; 31(6):1074-86. PubMed ID: 19372611
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sparse tensor discriminant analysis.
    Lai Z; Xu Y; Yang J; Tang J; Zhang D
    IEEE Trans Image Process; 2013 Oct; 22(10):3904-15. PubMed ID: 23708805
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Multilinear supervised neighborhood embedding of a local descriptor tensor for scene/object recognition.
    Han XH; Chen YW; Ruan X
    IEEE Trans Image Process; 2012 Mar; 21(3):1314-26. PubMed ID: 21937347
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improving gene expression cancer molecular pattern discovery using nonnegative principal component analysis.
    Han X
    Genome Inform; 2008; 21():200-11. PubMed ID: 19425159
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Uncorrelated multilinear discriminant analysis with regularization and aggregation for tensor object recognition.
    Lu H; Plataniotis KN; Venetsanopoulos AN
    IEEE Trans Neural Netw; 2009 Jan; 20(1):103-23. PubMed ID: 19095532
    [TBL] [Abstract][Full Text] [Related]  

  • 17. L1-norm locally linear representation regularization multi-source adaptation learning.
    Tao J; Wen S; Hu W
    Neural Netw; 2015 Sep; 69():80-98. PubMed ID: 26091754
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Supervised orthogonal discriminant subspace projects learning for face recognition.
    Chen Y; Xu XH
    Neural Netw; 2014 Feb; 50():33-46. PubMed ID: 24246366
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Semi-supervised and unsupervised extreme learning machines.
    Huang G; Song S; Gupta JN; Wu C
    IEEE Trans Cybern; 2014 Dec; 44(12):2405-17. PubMed ID: 25415946
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Information-theoretic semi-supervised metric learning via entropy regularization.
    Niu G; Dai B; Yamada M; Sugiyama M
    Neural Comput; 2014 Aug; 26(8):1717-62. PubMed ID: 24877733
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.