A randomized heuristic for kernel parameter selection with large-scale multi-class data. - Toke Jansen Hansen; Trine Julie Abrahamsen; Lars Kai Hansen (MLSP, 2011)

Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data. - Trine Julie Abrahamsen; Lars Kai Hansen (MLINI, 2011)

A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis. - Trine Julie Abrahamsen; Lars Kai Hansen (J. Mach. Learn. Res., 2011)

Sparse non-linear denoising: Generalization performance and pattern reproducibility in functional MRI. - Trine Julie Abrahamsen; Lars Kai Hansen (Pattern Recognit. Lett., 2011)

Regularized Pre-image Estimation for Kernel PCA De-noising - Input Space Regularization and Sparse Reconstruction. - Trine Julie Abrahamsen; Lars Kai Hansen (J. Signal Process. Syst., 2011)

Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation. - Peter Mondrup Rasmussen; Trine Julie Abrahamsen; Kristoffer Hougaard Madsen; Lars Kai Hansen (NeuroImage, 2012)

Variance inflation in high dimensional Support Vector Machines. - Trine Julie Abrahamsen; Lars Kai Hansen (Pattern Recognit. Lett., 2013)

Denoising by semi-supervised kernel PCA preimaging. - Toke Jansen Hansen; Trine Julie Abrahamsen; Lars Kai Hansen (Pattern Recognit. Lett., 2014)