| Supervised low rank indefinite kernel approximation using minimum enclosing balls. | 3 | 0.43 | 2018 |
| Probabilistic classifiers with low rank indefinite kernels. | 0 | 0.34 | 2016 |
| Efficient approximations of robust soft learning vector quantization for non-vectorial data. | 3 | 0.37 | 2015 |
| Data visualization by nonlinear dimensionality reduction | 14 | 0.59 | 2015 |
| Probabilistic Classification Vector Machine at large scale. | 0 | 0.34 | 2015 |
| Using Discriminative Dimensionality Reduction to Visualize Classifiers | 6 | 0.45 | 2015 |
| Large Scale Indefinite Kernel Fisher Discriminant | 1 | 0.35 | 2015 |
| Parametric nonlinear dimensionality reduction using kernel t-SNE. | 21 | 0.74 | 2015 |
| Relevance Learning for Dimensionality Reduction. | 0 | 0.34 | 2014 |
| Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples | 6 | 0.47 | 2013 |
| Discriminative Dimensionality Reduction for the Visualization of Classifiers. | 1 | 0.35 | 2013 |
| Visualizing dependencies of spectral features using mutual information. | 0 | 0.34 | 2013 |
| Visualizing the quality of dimensionality reduction. | 26 | 0.75 | 2013 |
| Using nonlinear dimensionality reduction to visualize classifiers | 3 | 0.42 | 2013 |
| Applications of Discriminative Dimensionality Reduction. | 1 | 0.35 | 2013 |
| Data analysis of (non-)metric proximities at linear costs | 14 | 0.54 | 2013 |
| Linear basis-function t-SNE for fast nonlinear dimensionality reduction | 10 | 0.51 | 2012 |
| Efficient Approximations of Kernel Robust Soft LVQ. | 2 | 0.37 | 2012 |
| Out-of-sample kernel extensions for nonparametric dimensionality reduction. | 11 | 0.61 | 2012 |
| Relevance learning for short high-dimensional time series in the life sciences | 1 | 0.35 | 2012 |
| Discriminative dimensionality reduction mappings | 5 | 0.43 | 2012 |
| Relevance learning for time series inspection. | 1 | 0.35 | 2012 |
| Approximation techniques for clustering dissimilarity data | 8 | 0.49 | 2012 |
| Learning relevant time points for time-series data in the life sciences | 4 | 0.71 | 2012 |
| How to Visualize Large Data Sets? | 4 | 0.44 | 2012 |
| Linear Time Relational Prototype Based Learning | 16 | 0.67 | 2012 |
| Topographic mapping of dissimilarity data | 7 | 0.53 | 2011 |
| Accelerating kernel neural gas | 0 | 0.34 | 2011 |
| Supervised learning of short and high-dimensional temporal sequences for life science measurements | 0 | 0.34 | 2011 |
| Accelerating kernel clustering for biomedical data analysis. | 1 | 0.36 | 2011 |
| Linear time heuristics for topographic mapping of dissimilarity data | 1 | 0.37 | 2011 |
| Visualizing dissimilarity data using generative topographic mapping | 0 | 0.34 | 2010 |
| Relevance learning in generative topographic mapping | 10 | 0.58 | 2010 |
| Relational generative topographic mapping | 15 | 0.64 | 2010 |
