| Spectral clustering based on the graph p-Laplacian T Bühler, M Hein Proceedings of the 26th International Conference on Machine Learning, 81-88, 2009 | 378 | 2009 |
| An inverse power method for nonlinear eigenproblems with applications in 1-spectral clustering and sparse PCA M Hein, T Bühler Advances in Neural Information Processing Systems 23, 847-855, 2010 | 247 | 2010 |
| Towards realistic team formation in social networks based on densest subgraphs SS Rangapuram, T Bühler, M Hein Proceedings of the 22nd International Conference on World Wide Web, 1077-1088, 2013 | 110 | 2013 |
| Speeding up k-means by approximating Euclidean distances via block vectors T Bottesch, T Bühler, M Kächele Proceedings of The 33rd International Conference on Machine Learning, 2578-2586, 2016 | 43 | 2016 |
| Constrained fractional set programs and their application in local clustering and community detection T Bühler, SS Rangapuram, S Setzer, M Hein Proceedings of the 30th International Conference on Machine Learning, 624-632, 2013 | 21 | 2013 |
| A flexible framework for solving constrained ratio problems in machine learning T Bühler Saarland University, 2015 | 5 | 2015 |
| Supplementary material T Bühler, M Hein | 5 | 2009 |
| Robust variational reconstruction from multiple views N Slesareva, T Bühler, KU Hagenburg, J Weickert, A Bruhn, Z Karni, ... SCIA 4522, 173-182, 2007 | 5 | 2007 |
| Supplementary Material for ”Spectral Clustering based on the graph p-Laplacian” T Bühler, M Hein | 4 | 2009 |
| Towards Realistic Team Formation in Social Networks based on Densest Subgraphs S Sundar Rangapuram, T Bühler, M Hein arXiv e-prints, arXiv: 1505.06661, 2015 | | 2015 |
Matthias HeinProfessor of Computer Science, University of Tübingen在 uni-tuebingen.de 的电子邮件经过验证
