Bernard Haasdonk

Bernard Haasdonk, Julien Salomon, Barbara I. Wohlmuth: A Reduced Basis Method for Parametrized Variational Inequalities. SIAM J. Numerical Analysis 50(5): 2656-2676 (2012)

Martin Drohmann, Bernard Haasdonk, Mario Ohlberger: Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation. SIAM J. Scientific Computing 34(2) (2012)

Bernard Haasdonk: Effiziente und gesicherte Modellreduktion für parametrisierte dynamische Systeme (Efficient and Certified Model Reduction for Parametrized Dynamical Systems). Automatisierungstechnik 58(8): 468-474 (2010)

Elzbieta Pekalska, Bernard Haasdonk: Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1017-1032 (2009)

Bernard Haasdonk, Elzbieta Pekalska: Classification with Kernel Mahalanobis Distance Classifiers. GfKl 2008: 351-361

Bernard Haasdonk, Elzbieta Pekalska: Indefinite Kernel Fisher Discriminant. ICPR 2008: 1-4

Bernard Haasdonk, Hans Burkhardt: Invariant kernel functions for pattern analysis and machine learning. Machine Learning 68(1): 35-61 (2007)

Bernard Haasdonk, Hans Burkhardt: Classification with Invariant Distance Substitution Kernels. GfKl 2007: 37-44

Bernard Haasdonk: Transformation knowledge in pattern analysis with kernel methods: distance and integration kernels. University of Freiburg 2006, isbn 978-3-8322-5026-3, pp. 1-151

Bernard Haasdonk: Feature Space Interpretation of SVMs with Indefinite Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 482-492 (2005)

Bernard Haasdonk, A. Vossen, Hans Burkhardt: Invariance in Kernel Methods by Haar-Integration Kernels. SCIA 2005: 841-851

Bernard Haasdonk, Claus Bahlmann: Learning with Distance Substitution Kernels. DAGM-Symposium 2004: 220-227

Bernard Haasdonk, Alaa Halawani, Hans Burkhardt: Adjustable Invariant Features by Partial Haar-Integration. ICPR (2) 2004: 769-774

Bernard Haasdonk, Mario Ohlberger, Martin Rumpf, Alfred Schmidt, Kunibert G. Siebert: Multiresolution Visualization of Higher Order Adaptive Finite Element Simulations. Computing 70(3): 181-204 (2003)

Claus Bahlmann, Bernard Haasdonk, Hans Burkhardt: Online handwriting recognition with support vector machines - a kernel approach. IWFHR 2002: 49-54

Bernard Haasdonk, Daniel Keysers: Tangent Distance Kernels for Support Vector Machines. ICPR (2) 2002: 864-868