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Trine Julie Abrahamsen
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- affiliation: Technical University of Denmark, Lyngby, Denmark
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2010 – 2019
- 2014
- [j6]Toke Jansen Hansen, Trine Julie Abrahamsen, Lars Kai Hansen:
Denoising by semi-supervised kernel PCA preimaging. Pattern Recognit. Lett. 49: 114-120 (2014) - 2013
- [j5]Trine Julie Abrahamsen, Lars Kai Hansen:
Variance inflation in high dimensional Support Vector Machines. Pattern Recognit. Lett. 34(16): 2173-2180 (2013) - 2012
- [j4]Peter Mondrup Rasmussen, Trine Julie Abrahamsen, Kristoffer Hougaard Madsen, Lars Kai Hansen:
Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation. NeuroImage 60(3): 1807-1818 (2012) - 2011
- [j3]Trine Julie Abrahamsen, Lars Kai Hansen:
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis. J. Mach. Learn. Res. 12: 2027-2044 (2011) - [j2]Trine Julie Abrahamsen, Lars Kai Hansen:
Sparse non-linear denoising: Generalization performance and pattern reproducibility in functional MRI. Pattern Recognit. Lett. 32(15): 2080-2085 (2011) - [j1]Trine Julie Abrahamsen, Lars Kai Hansen:
Regularized Pre-image Estimation for Kernel PCA De-noising - Input Space Regularization and Sparse Reconstruction. J. Signal Process. Syst. 65(3): 403-412 (2011) - [c2]Toke Jansen Hansen, Trine Julie Abrahamsen, Lars Kai Hansen:
A randomized heuristic for kernel parameter selection with large-scale multi-class data. MLSP 2011: 1-6 - [c1]Trine Julie Abrahamsen, Lars Kai Hansen:
Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data. MLINI 2011: 256-263
Coauthor Index
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