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 *

100 related articles for article (PubMed ID: 17348772)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 3-D object recognition using 2-D views.
    Li W; Bebis G; Bourbakis NG
    IEEE Trans Image Process; 2008 Nov; 17(11):2236-55. PubMed ID: 18854254
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A neural network model of semantic memory linking feature-based object representation and words.
    Cuppini C; Magosso E; Ursino M
    Biosystems; 2009 Jun; 96(3):195-205. PubMed ID: 19758544
    [TBL] [Abstract][Full Text] [Related]  

  • 8. What is the relation between slow feature analysis and independent component analysis?
    Blaschke T; Berkes P; Wiskott L
    Neural Comput; 2006 Oct; 18(10):2495-508. PubMed ID: 16907634
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unsupervised learning of Probabilistic Grammar-Markov Models for object categories.
    Zhu L; Chen Y; Yuille A
    IEEE Trans Pattern Anal Mach Intell; 2009 Jan; 31(1):114-28. PubMed ID: 19029550
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Creating abstract topographic representations: implications for coding, learning and reasoning.
    Tinsley CJ
    Biosystems; 2009 Jun; 96(3):251-8. PubMed ID: 19758551
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Visual recognition and inference using dynamic overcomplete sparse learning.
    Murray JF; Kreutz-Delgado K
    Neural Comput; 2007 Sep; 19(9):2301-52. PubMed ID: 17650062
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Interpreting concept learning in cognitive informatics and granular computing.
    Yao Y
    IEEE Trans Syst Man Cybern B Cybern; 2009 Aug; 39(4):855-66. PubMed ID: 19342352
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Unsupervised learning of individuals and categories from images.
    Waydo S; Koch C
    Neural Comput; 2008 May; 20(5):1165-78. PubMed ID: 18194101
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Greedy learning of multiple objects in images using robust statistics and factorial learning.
    Williams CK; Titsias MK
    Neural Comput; 2004 May; 16(5):1039-62. PubMed ID: 15070509
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multivariate analysis of full-term neonatal polysomnographic data.
    Gerla V; Paul K; Lhotska L; Krajca V
    IEEE Trans Inf Technol Biomed; 2009 Jan; 13(1):104-10. PubMed ID: 19129029
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Iterative RELIEF for feature weighting: algorithms, theories, and applications.
    Sun Y
    IEEE Trans Pattern Anal Mach Intell; 2007 Jun; 29(6):1035-51. PubMed ID: 17431301
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models.
    Hutchinson RA; Niculescu RS; Keller TA; Rustandi I; Mitchell TM
    Neuroimage; 2009 May; 46(1):87-104. PubMed ID: 19457397
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. On feature extraction via kernels.
    Yang C; Wang L; Feng J
    IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):553-7. PubMed ID: 18348937
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.