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2010 – 2019
- 2016
[c6]Thomas Bottesch, Thomas Bühler, Markus Kächele:
Speeding up k-means by approximating Euclidean distances via block vectors. ICML 2016: 2578-2586- 2015
- [b1]Thomas Bühler:
A flexible framework for solving constrained ratio problems in machine learning. Saarland University, 2015 - [i3]Syama Sundar Rangapuram, Thomas Bühler, Matthias Hein:
Towards Realistic Team Formation in Social Networks based on Densest Subgraphs. CoRR abs/1505.06661 (2015) - 2013
- [c5]Thomas Bühler, Syama Sundar Rangapuram, Simon Setzer, Matthias Hein:
Constrained fractional set programs and their application in local clustering and community detection. ICML (1) 2013: 624-632 - [c4]Syama Sundar Rangapuram, Thomas Bühler, Matthias Hein:
Towards realistic team formation in social networks based on densest subgraphs. WWW 2013: 1077-1088 - [i2]Thomas Bühler, Syama Sundar Rangapuram, Simon Setzer, Matthias Hein:
Constrained fractional set programs and their application in local clustering and community detection. CoRR abs/1306.3409 (2013) - 2010
- [c3]Matthias Hein, Thomas Bühler:
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA. NIPS 2010: 847-855 - [i1]Matthias Hein, Thomas Bühler:
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA. CoRR abs/1012.0774 (2010)
2000 – 2009
- 2009
- [c2]Thomas Bühler, Matthias Hein:
Spectral clustering based on the graph p-Laplacian. ICML 2009: 81-88 - 2007
- [c1]Natalia Slesareva, Thomas Bühler, Kai Uwe Hagenburg, Joachim Weickert, Andrés Bruhn, Zachi Karni, Hans-Peter Seidel:
Robust Variational Reconstruction from Multiple Views. SCIA 2007: 173-182
Coauthor Index
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