Trine Julie Abrahamsen

  1. 2014
  2. Published

    Denoising by semi-supervised kernel PCA preimaging. / Hansen, Toke Jansen; Abrahamsen, Trine Julie; Hansen, Lars Kai.

    In: Pattern Recognition Letters, Vol. 49, 2014, p. 114-120.

    Publication: Research - peer-reviewJournal article – Annual report year: 2014

  3. 2013
  4. Published

    Kernel Methods for Machine Learning with Life Science Applications. / Abrahamsen, Trine Julie; Hansen, Lars Kai (Main supervisor); Winther, Ole (Supervisor).

    Kgs. Lyngby : Technical University of Denmark, 2013. 168 p. (PHD-2013; No. 299).

    Publication: ResearchPh.D. thesis – Annual report year: 2013

  5. Published

    Variance inflation in high dimensional Support Vector Machines. / Abrahamsen, Trine Julie; Hansen, Lars Kai.

    In: Pattern Recognition Letters, Vol. 34, No. 16, 2013, p. 2173-2180.

    Publication: Research - peer-reviewJournal article – Annual report year: 2013

  6. 2012
  7. Published
  8. Published

    Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data. / Abrahamsen, Trine Julie; Hansen, Lars Kai.

    Machine Learning and Interpretation in Neuroimaging: International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions. Springer, 2012. p. 256-263 (Lecture Notes in Computer Science, Vol. 7263).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  9. 2011
  10. Published

    A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis. / Abrahamsen, Trine Julie; Hansen, Lars Kai.

    In: Journal of Machine Learning Research, Vol. 12, 2011, p. 2027-2044.

    Publication: Research - peer-reviewJournal article – Annual report year: 2011

  11. Published

    A Randomized Heuristic for Kernel Parameter Selection with Large-scale Multi-class Data. / Hansen, Toke Jansen; Abrahamsen, Trine Julie; Hansen, Lars Kai.

    2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2011.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2011

  12. Published

    Regularized Pre-image Estimation for Kernel PCA De-noising : Input Space Regularization and Sparse Reconstruction. / Abrahamsen, Trine Julie; Hansen, Lars Kai.

    In: Journal of Signal Processing Systems, Vol. 65, No. 3, 2011, p. 403-412.

    Publication: Research - peer-reviewJournal article – Annual report year: 2011

  13. Published

    Sparse non-linear denoising: Generalization performance and pattern reproducibility in functional MRI. / Abrahamsen, Trine Julie; Hansen, Lars Kai.

    In: Pattern Recognition Letters, Vol. 32, No. 15, 2011, p. 2080-2085.

    Publication: Research - peer-reviewJournal article – Annual report year: 2011

  14. 2009
  15. Published

    Input Space Regularization Stabilizes Pre-images for Kernel PCA De-noising. / Abrahamsen, Trine Julie; Hansen, Lars Kai.

    IEEE International Workshop on Machine Learning for Signal Processing, 2009. MLSP 2009.. IEEE, 2009. p. 1-6.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2009

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