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 *

142 related articles for article (PubMed ID: 26863686)

  • 1. NMF-Based Image Quality Assessment Using Extreme Learning Machine.
    Wang S; Deng C; Lin W; Huang GB; Zhao B
    IEEE Trans Cybern; 2017 Jan; 47(1):232-243. PubMed ID: 26863686
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Joint Dictionary Learning-Based Non-Negative Matrix Factorization for Voice Conversion to Improve Speech Intelligibility After Oral Surgery.
    Fu SW; Li PC; Lai YH; Yang CC; Hsieh LC; Tsao Y
    IEEE Trans Biomed Eng; 2017 Nov; 64(11):2584-2594. PubMed ID: 28026747
    [No Abstract]   [Full Text] [Related]  

  • 3. VSI: a visual saliency-induced index for perceptual image quality assessment.
    Zhang L; Shen Y; Li H
    IEEE Trans Image Process; 2014 Oct; 23(10):4270-81. PubMed ID: 25122572
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Information content weighting for perceptual image quality assessment.
    Wang Z; Li Q
    IEEE Trans Image Process; 2011 May; 20(5):1185-98. PubMed ID: 21078577
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Image Quality Assessment Based on Local Linear Information and Distortion-Specific Compensation.
    Hanli Wang ; Jie Fu ; Weisi Lin ; Sudeng Hu ; Jay Kuo CC; Lingxuan Zuo
    IEEE Trans Image Process; 2017 Feb; 26(2):915-926. PubMed ID: 28113319
    [TBL] [Abstract][Full Text] [Related]  

  • 6. SVD-based quality metric for image and video using machine learning.
    Narwaria M; Lin W
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):347-64. PubMed ID: 21965214
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception.
    Bae SH; Kim M
    IEEE Trans Image Process; 2016 May; 25(5):2392-406. PubMed ID: 27046873
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Extreme learning machine and adaptive sparse representation for image classification.
    Cao J; Zhang K; Luo M; Yin C; Lai X
    Neural Netw; 2016 Sep; 81():91-102. PubMed ID: 27389571
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 3D-MAD: A Full Reference Stereoscopic Image Quality Estimator Based on Binocular Lightness and Contrast Perception.
    Zhang Y; Chandler DM
    IEEE Trans Image Process; 2015 Nov; 24(11):3810-25. PubMed ID: 26186775
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Visual Perceptual Quality Assessment Based on Blind Machine Learning Techniques.
    Takam Tchendjou G; Simeu E
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009718
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Universal blind image quality assessment metrics via natural scene statistics and multiple kernel learning.
    Gao X; Gao F; Tao D; Li X
    IEEE Trans Neural Netw Learn Syst; 2013 Dec; 24(12):2013-26. PubMed ID: 24805219
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Toward a No-Reference Image Quality Assessment Using Statistics of Perceptual Color Descriptors.
    Lee D; Plataniotis KN
    IEEE Trans Image Process; 2016 Aug; 25(8):3875-89. PubMed ID: 27305678
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index.
    Xue W; Zhang L; Mou X; Bovik AC
    IEEE Trans Image Process; 2014 Feb; 23(2):684-95. PubMed ID: 26270911
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dimension Reduction With Extreme Learning Machine.
    Kasun LL; Yang Y; Huang GB; Zhang Z
    IEEE Trans Image Process; 2016 Aug; 25(8):3906-18. PubMed ID: 27214902
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification.
    Pang S; Yang X
    Comput Intell Neurosci; 2016; 2016():3049632. PubMed ID: 27610128
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extreme learning machine based optimal embedding location finder for image steganography.
    Atee HA; Ahmad R; Noor NM; Rahma AM; Aljeroudi Y
    PLoS One; 2017; 12(2):e0170329. PubMed ID: 28196080
    [TBL] [Abstract][Full Text] [Related]  

  • 17. FSIM: a feature similarity index for image quality assessment.
    Zhang L; Zhang L; Mou X; Zhang D
    IEEE Trans Image Process; 2011 Aug; 20(8):2378-86. PubMed ID: 21292594
    [TBL] [Abstract][Full Text] [Related]  

  • 18. No-reference image quality assessment using visual codebooks.
    Ye P; Doermann D
    IEEE Trans Image Process; 2012 Jul; 21(7):3129-38. PubMed ID: 22410336
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Visual tracking based on extreme learning machine and sparse representation.
    Wang B; Tang L; Yang J; Zhao B; Wang S
    Sensors (Basel); 2015 Oct; 15(10):26877-905. PubMed ID: 26506359
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Extreme learning machine for regression and multiclass classification.
    Huang GB; Zhou H; Ding X; Zhang R
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):513-29. PubMed ID: 21984515
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.