 | 2012 |
| 33 |  | Syama Sundar Rangapuram,
Matthias Hein:
Constrained 1-Spectral Clustering.
Journal of Machine Learning Research - Proceedings Track 22: 1143-1151 (2012) |
| 2011 |
| 32 |  | Michael Grimm,
Alexander Krah,
Noman Murtaza,
Rajesh Kumar Sharma,
Markus Herrmann Landmann,
Reiner S. Thomä,
Albert Heuberger,
Matthias Hein:
Performance evaluation of directional spectrum sensing using an over-the-air testbed.
CogART 2011: 17 |
| 31 |  | Martin Slawski,
Matthias Hein:
Sparse recovery by thresholded non-negative least squares.
NIPS 2011: 1926-1934 |
| 30 |  | Matthias Hein,
Simon Setzer:
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts.
NIPS 2011: 2366-2374 |
| 29 |  | Markus Maier,
Ulrike von Luxburg,
Matthias Hein:
How the result of graph clustering methods depends on the construction of the graph
CoRR abs/1102.2075: (2011) |
| 28 |  | Matthias Hein,
Gábor Lugosi,
Lorenzo Rosasco,
Steve Smale:
Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 11291).
Dagstuhl Reports 1(7): 53-69 (2011) |
| 2010 |
| 27 |  | Ulrike von Luxburg,
Agnes Radl,
Matthias Hein:
Getting lost in space: Large sample analysis of the resistance distance.
NIPS 2010: 2622-2630 |
| 26 |  | Matthias Hein,
Thomas Bühler:
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA.
NIPS 2010: 847-855 |
| 25 |  | Ulrike von Luxburg,
Agnes Radl,
Matthias Hein:
Hitting times, commute distances and the spectral gap for large random geometric graphs
CoRR abs/1003.1266: (2010) |
| 24 |  | 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) |
| 23 |  | Florian Steinke,
Matthias Hein,
Bernhard Schölkopf:
Nonparametric Regression between General Riemannian Manifolds.
SIAM J. Imaging Sciences 3(3): 527-563 (2010) |
| 2009 |
| 22 |  | Thomas Bühler,
Matthias Hein:
Spectral clustering based on the graph p-Laplacian.
ICML 2009: 11 |
| 21 |  | Matthias Hein:
Robust Nonparametric Regression with Metric-Space Valued Output.
NIPS 2009: 718-726 |
| 20 |  | Kwang In Kim,
Florian Steinke,
Matthias Hein:
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction.
NIPS 2009: 979-987 |
| 19 |  | Andreas Keller,
Nicole Ludwig,
Sabrina Heisel,
Petra Leidinger,
Claudia Andres,
Wolf-Ingo Steudel,
Hanno Huwer,
Bernhard Burgeth,
Matthias Hein,
Joachim Weickert,
Eckart Meese,
Hans-Peter Lenhof:
Large-scale antibody profiling of human blood sera: The future of molecular diagnosis.
Informatik Spektrum 32(4): 332-338 (2009) |
| 18 |  | Markus Maier,
Matthias Hein,
Ulrike von Luxburg:
Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters.
Theor. Comput. Sci. 410(19): 1749-1764 (2009) |
| 2008 |
| 17 |  | Markus Maier,
Ulrike von Luxburg,
Matthias Hein:
Influence of graph construction on graph-based clustering measures.
NIPS 2008: 1025-1032 |
| 16 |  | Florian Steinke,
Matthias Hein:
Non-parametric Regression Between Manifolds.
NIPS 2008: 1561-1568 |
| 15 |  | Florian Steinke,
Matthias Hein,
Jan Peters,
Bernhard Schölkopf:
Manifold-valued Thin-Plate Splines with Applications in Computer Graphics.
Comput. Graph. Forum 27(2): 437-448 (2008) |
| 14 |  | Piotr Didyk,
Rafal Mantiuk,
Matthias Hein,
Hans-Peter Seidel:
Enhancement of Bright Video Features for HDR Displays.
Comput. Graph. Forum 27(4): 1265-1274 (2008) |
| 2007 |
| 13 |  | Matthias Hein,
Markus Maier:
Manifold Denoising as Preprocessing for Finding Natural Representations of Data.
AAAI 2007: 1646-1649 |
| 12 |  | Markus Maier,
Matthias Hein,
Ulrike von Luxburg:
Cluster Identification in Nearest-Neighbor Graphs.
ALT 2007: 196-210 |
| 11 |  | Matthias Hein,
Jean-Yves Audibert,
Ulrike von Luxburg:
Graph Laplacians and their Convergence on Random Neighborhood Graphs.
Journal of Machine Learning Research 8: 1325-1368 (2007) |
| 2006 |
| 10 |  | Matthias Hein:
Uniform Convergence of Adaptive Graph-Based Regularization.
COLT 2006: 50-64 |
| 9 |  | Matthias Hein,
Markus Maier:
Manifold Denoising.
NIPS 2006: 561-568 |
| 8 |  | Matthias Hein,
Jean-Yves Audibert,
Ulrike von Luxburg:
Graph Laplacians and their convergence on random neighborhood graphs
CoRR abs/math/0608522: (2006) |
| 7 |  | Matthias Hein:
Geometrical aspects of statistical learning theory.
Darmstadt University of Technology 2006: 1-153 |
| 2005 |
| 6 |  | Matthias Hein,
Jean-Yves Audibert,
Ulrike von Luxburg:
From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians.
COLT 2005: 470-485 |
| 5 |  | Matthias Hein,
Jean-Yves Audibert:
Intrinsic dimensionality estimation of submanifolds in Rd.
ICML 2005: 289-296 |
| 4 |  | Matthias Hein,
Olivier Bousquet,
Bernhard Schölkopf:
Maximal margin classification for metric spaces.
J. Comput. Syst. Sci. 71(3): 333-359 (2005) |
| 2004 |
| 3 |  | Matthias Hein,
Thomas Navin Lal,
Olivier Bousquet:
Hilbertian Metrics on Probability Measures and Their Application in SVM?s.
DAGM-Symposium 2004: 270-277 |
| 2003 |
| 2 |  | Matthias Hein,
Olivier Bousquet:
Maximal Margin Classification for Metric Spaces.
COLT 2003: 72-86 |
| 1 |  | Olivier Bousquet,
Olivier Chapelle,
Matthias Hein:
Measure Based Regularization.
NIPS 2003 |