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 *

133 related articles for article (PubMed ID: 21808089)

  • 1. Slow feature analysis for human action recognition.
    Zhang Z; Tao D
    IEEE Trans Pattern Anal Mach Intell; 2012 Mar; 34(3):436-50. PubMed ID: 21808089
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Slow feature analysis: unsupervised learning of invariances.
    Wiskott L; Sejnowski TJ
    Neural Comput; 2002 Apr; 14(4):715-70. PubMed ID: 11936959
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Slow feature analysis: a theoretical analysis of optimal free responses.
    Wiskott L
    Neural Comput; 2003 Sep; 15(9):2147-77. PubMed ID: 12959670
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Temporal Variance Analysis for Action Recognition.
    Miao J; Xu X; Qiu S; Qing C; Tao D
    IEEE Trans Image Process; 2015 Dec; 24(12):5904-15. PubMed ID: 26469203
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Slow feature analysis yields a rich repertoire of complex cell properties.
    Berkes P; Wiskott L
    J Vis; 2005 Jul; 5(6):579-602. PubMed ID: 16097870
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Decoding a bistable percept with integrated time-frequency representation of single-trial local field potential.
    Wang Z; Logothetis NK; Liang H
    J Neural Eng; 2008 Dec; 5(4):433-42. PubMed ID: 18971518
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A maximum-likelihood interpretation for slow feature analysis.
    Turner R; Sahani M
    Neural Comput; 2007 Apr; 19(4):1022-38. PubMed ID: 17348772
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction.
    Klampfl S; Maass W
    Neural Comput; 2010 Dec; 22(12):2979-3035. PubMed ID: 20858129
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predictive coding and the slowness principle: an information-theoretic approach.
    Creutzig F; Sprekeler H
    Neural Comput; 2008 Apr; 20(4):1026-41. PubMed ID: 18085988
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Probabilistic Slow Features for Behavior Analysis.
    Zafeiriou L; Nicolaou MA; Zafeiriou S; Nikitidis S; Pantic M
    IEEE Trans Neural Netw Learn Syst; 2016 May; 27(5):1034-48. PubMed ID: 26068878
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Animated pose templates for modeling and detecting human actions.
    Yao BZ; Nie BX; Liu Z; Zhu SC
    IEEE Trans Pattern Anal Mach Intell; 2014 Mar; 36(3):436-52. PubMed ID: 24457502
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Is slowness a learning principle of the visual cortex?
    Wiskott L; Berkes P
    Zoology (Jena); 2003; 106(4):373-82. PubMed ID: 16351921
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Action recognition using mined hierarchical compound features.
    Gilbert A; Illingworth J; Bowden R
    IEEE Trans Pattern Anal Mach Intell; 2011 May; 33(5):883-97. PubMed ID: 20714014
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
    De Martino F; Valente G; Staeren N; Ashburner J; Goebel R; Formisano E
    Neuroimage; 2008 Oct; 43(1):44-58. PubMed ID: 18672070
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Training the max-margin sequence model with the relaxed slack variables.
    Niu L; Wu J; Shi Y
    Neural Netw; 2012 Sep; 33():228-35. PubMed ID: 22717449
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extraction of bistable-percept-related features from local field potential by integration of local regression and common spatial patterns.
    Wang Z; Maier A; Logothetis NK; Liang H
    IEEE Trans Biomed Eng; 2009 Aug; 56(8):2095-103. PubMed ID: 19362902
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning Human Actions by Combining Global Dynamics and Local Appearance.
    Luo G; Yang S; Tian G; Yuan C; Hu W; Maybank SJ
    IEEE Trans Pattern Anal Mach Intell; 2014 Dec; 36(12):2466-82. PubMed ID: 26353152
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Slow feature analysis with spiking neurons and its application to audio stimuli.
    Bellec G; Galtier M; Brette R; Yger P
    J Comput Neurosci; 2016 Jun; 40(3):317-29. PubMed ID: 27075919
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [EEG feature extraction based on ICA and CSP algorithms].
    Li X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Dec; 27(6):1370-4. PubMed ID: 21374997
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Unsupervised analysis of fMRI data using kernel canonical correlation.
    Hardoon DR; Mourão-Miranda J; Brammer M; Shawe-Taylor J
    Neuroimage; 2007 Oct; 37(4):1250-9. PubMed ID: 17686634
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.