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

Non-parametric co-clustering of large scale sparse bipartite networks on the GPU. - Toke Jansen Hansen; Morten Mørup; Lars Kai Hansen (MLSP, 2011)

Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI. - Toke Jansen Hansen; Lars Kai Hansen; Kristoffer Hougaard Madsen (MLINI, 2011)

Semi-supervised Eigenvectors for Locally-biased Learning. - Toke Jansen Hansen; Michael W. Mahoney (NIPS, 2012)

Dimensionality reduction for click-through rate prediction: Dense versus sparse representation. - Bjarne Ørum Fruergaard; Toke Jansen Hansen; Lars Kai Hansen (CoRR, 2013)

Semi-supervised eigenvectors for large-scale locally-biased learning. - Toke Jansen Hansen; Michael W. Mahoney (J. Mach. Learn. Res., 2014)

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