Thomas Bühler
Thomas Bühler
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Title
Cited by
Cited by
Year
Spectral clustering based on the graph p-Laplacian
T Bühler, M Hein
Proceedings of the 26th International Conference on Machine Learning, 81-88, 2009
2532009
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
1692010
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
742013
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
222016
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
162013
Robust variational reconstruction from multiple views
N Slesareva, T Bühler, KU Hagenburg, J Weickert, A Bruhn, Z Karni, ...
Scandinavian Conference on Image Analysis, 173-182, 2007
52007
Supplementary Material for ”Spectral Clustering based on the graph p-Laplacian”
T Bühler, M Hein
32009
A flexible framework for solving constrained ratio problems in machine learning
T Bühler
Saarland University, 2015
22015
Towards Realistic Team Formation in Social Networks based on Densest Subgraphs
S Sundar Rangapuram, T Bühler, M Hein
arXiv, arXiv: 1505.06661, 2015
2015
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Articles 1–9