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Matthias Hein: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Matthias Hein
    Uniform Convergence of Adaptive Graph-Based Regularization. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:50-64 [Conf]
  2. Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg
    From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:470-485 [Conf]
  3. Matthias Hein, Olivier Bousquet
    Maximal Margin Classification for Metric Spaces. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:72-86 [Conf]
  4. Matthias Hein, Thomas Navin Lal, Olivier Bousquet
    Hilbertian Metrics on Probability Measures and Their Application in SVM?s. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:270-277 [Conf]
  5. Matthias Hein, Jean-Yves Audibert
    Intrinsic dimensionality estimation of submanifolds in Rd. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:289-296 [Conf]
  6. Olivier Bousquet, Olivier Chapelle, Matthias Hein
    Measure Based Regularization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  7. Matthias Hein, Olivier Bousquet, Bernhard Schölkopf
    Maximal margin classification for metric spaces. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2005, v:71, n:3, pp:333-359 [Journal]
  8. Matthias Hein, Markus Maier
    Manifold Denoising as Preprocessing for Finding Natural Representations of Data. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1646-1649 [Conf]
  9. Markus Maier, Matthias Hein, Ulrike von Luxburg
    Cluster Identification in Nearest-Neighbor Graphs. [Citation Graph (0, 0)][DBLP]
    ALT, 2007, pp:196-210 [Conf]
  10. Matthias Hein, Markus Maier
    Manifold Denoising. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:561-568 [Conf]
  11. Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg
    Graph Laplacians and their convergence on random neighborhood graphs [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  12. Spectral clustering based on the graph p-Laplacian. [Citation Graph (, )][DBLP]

  13. Non-parametric Regression Between Manifolds. [Citation Graph (, )][DBLP]

  14. Influence of graph construction on graph-based clustering measures. [Citation Graph (, )][DBLP]

  15. Manifold-valued Thin-Plate Splines with Applications in Computer Graphics. [Citation Graph (, )][DBLP]

  16. Enhancement of Bright Video Features for HDR Displays. [Citation Graph (, )][DBLP]

  17. Hitting times, commute distances and the spectral gap for large random geometric graphs [Citation Graph (, )][DBLP]

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