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Brit Steiner
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Publications 2009 and before

Publications 2009 and before

Haasdonk, B.: Effiziente und Gesicherte Modellreduktion für Parametrisierte Dynamische Systeme., at - Automatisierungstechnik, 2010, 58, 468-474. Zeige BibTex

Pekalska, E. & Haasdonk, B.: Indefinite Kernel Discriminant Analysis, Proc. COMPSTAT 2010, International Conference on Computational Statistics, 2010. Zeige BibTex

Haasdonk, B. & Ohlberger, M.: Space-Adaptive Reduced Basis Simulation for Time-Dependent Problems, Proc. MATHMOD 2009, 6th Vienna International Conference on Mathematical Modelling, 2009. Zeige BibTex

Haasdonk, B. & Ohlberger, M.: Efficient Reduced Models for Parametrized Dynamical Systems by Offline/Online Decomposition, Proc. MATHMOD 2009, 6th Vienna International Conference on Mathematical Modelling, 2009. Zeige BibTex

Haasdonk, B. & Ohlberger, M.: Efficient a-posteriori Error Estimation for Parametrized Reduced Dynamical Systems, GMA-Fachaussschuss 1.30, Tagungsband, 2009. Zeige BibTex

Haasdonk, B. & Ohlberger, M.: Reduced basis method for explicit finite volume approximations of nonlinear conservation laws, Hyperbolic problems: theory, numerics and applications, Amer. Math. Soc., 2009, 67, 605-614. Zeige BibTex

Haasdonk, B.; Ohlberger, M.; Tonn, T. & Urban, K.: MoRePaS 2009 Book of Abstracts, University of Münster, 2009. Zeige BibTex

Jung, N.; Haasdonk, B. & Kröner, D.: Reduced Basis Method for Quadratically Nonlinear Transport Equations, IJCSM, 2009, 2, 334-353. Zeige BibTex

Pekalska, E. & Haasdonk, B.: Kernel Discriminant Analysis with Positive Definite and Indefinite Kernels, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31, 1017-1032. Zeige BibTex

Drohmann, M.; Haasdonk, B. & Ohlberger, M.: Reduced Basis Method for Finite Volume Approximation of Evolution Equations on Parametrized Geometries, Proceedings of ALGORITMY 2009, 2008, 111-120. Zeige BibTex

Haasdonk, B. & Ohlberger, M.: Reduced basis method for finite volume approximations of parametrized linear evolution equations, ESAIM: M2AN, 2008, 42, 277-302. Zeige BibTex

Haasdonk, B. & Ohlberger, M.: Adaptive basis enrichment for the reduced basis method applied to finite volume schemes, Finite volumes for complex applications V, ISTE, London, 2008, 471-478. Zeige BibTex

Haasdonk, B.; Ohlberger, M. & Rozza, G.: A Reduced Basis Method for Evolution Schemes with Parameter-Dependent Explicit Operators, ETNA, Electronic Transactions on Numerical Analysis, 2008, 32, 145-161. Zeige BibTex

Haasdonk, B. & Pekalska, E.: Indefinite Kernel Fisher Discriminant, Proc. ICPR 2008, International Conference on Pattern Recognition, 2008. Zeige BibTex

Haasdonk, B. & Pekalska, E.: Classification with Kernel Mahalanobis Distances, Proc. of 32nd. GfKl Conference, Advances in Data Analysis, Data Handling and Business Intelligence, 2008. Zeige BibTex

Fuhrmann J; Haasdonk, B.; Holzbecher, E. & Ohlberger, M.: Guest Editorial for Special Issue on Modelling and Simulation of PEM-FC, Journal of Fuel Cell Science and Technology, 2007. Zeige BibTex

Haasdonk, B. & Burkhardt, H.: Classification with Invariant Distance Substitution Kernels, Proc. of 31st GfKl Conference, Data Analysis, Machine Learning, and Applications, 2007. Zeige BibTex

Haasdonk, B. & Burkhardt, H.: Invariant Kernels for Pattern Analysis and Machine Learning, Machine Learning, IIF-LMB, Universität Freiburg, Institut für Informatik, 2007, 68, 35-61. Zeige BibTex

Haasdonk, B. & Ohlberger, M.: P. Díez and K. Runesson (Eds.), Basis Construction for Reduced Basis Methods By Adaptive Parameter Grids, Proc. International Conference on Adaptive Modeling and Simulation, ADMOS 2007, CIMNE, Barcelona, 2007. Zeige BibTex Zeige Abstract

Peschke, K.-D.; Haasdonk, B.; Ronneberger, O.; Burkhard, H.; Rösch, P.; Harz, M. & Popp, J.: Using Transformation Knowledge for the Classification of Raman Spectra of Biological Samples, BIOMED 2006, Proc. of the 4th IASTED International Conference on Biomedical Engineering, 2006, 288-293. Zeige BibTex

Haasdonk, B.: Feature Space Interpretation of SVMs with Indefinite Kernels, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, 2005, 27, 482-492. Zeige BibTex

Haasdonk, B.; Vossen, A. & Burkhardt, H.: Invariance in Kernel Methods by Haar-Integration Kernels, Proceedings of the 14th Scandinavian Conference on Image Analysis, Springer, 2005. Zeige BibTex

Haasdonk, B. & Bahlmann, C.: Learning with Distance Substitution Kernels, Pattern Recognition - Proceedings of the 26th DAGM Symposium, Springer, 2004, 220-227. Zeige BibTex

Haasdonk, B.; Halawani, A. & Burkhardt, H.: Adjustable invariant features by partial Haar-integration, Proceedings of the 17th International Conference on Pattern Recognition, 2004, 2, 769- 774. Zeige BibTex

Haasdonk, B.; Ohlberger, M.; Rumpf, M.; Schmidt, A. & Siebert, K. G.: Multiresolution Visualization of Higher Order Adaptive Finite Element Simulations, Computing, 2003, 70, 181-204. Zeige BibTex Zeige Abstract

Bahlmann, C.; Haasdonk, B. & Burkhardt, H.: On-line Handwriting Recognition with Support Vector Machines - A Kernel Approach, Proc. of the 8th International Workshop on Frontiers in Handwriting Recognition, IEEE Computer Society, 2002, 49-54. Zeige BibTex Zeige Abstract

Haasdonk, B. & Keysers, D.: Tangent Distance Kernels for Support Vector Machines, Proceedings of the 16th International Conference on Pattern Recognition, IEEE Computer Society, 2002, 2, 864-868. Zeige BibTex Zeige Abstract

Haasdonk, B.; Kröner, D. & Rohde, C.: Convergence of a staggered Lax-Friedrichs scheme for nonlinear conservation laws on unstructured two-dimensional grids, Numer. Math., 2001, 88, 459-484. Zeige BibTex

Haasdonk, B.: Convergence of a Staggered Lax-Friedrichs Scheme on Unstructured 2D-Grids, HYP 2000, Proceedings of the 8th International Conference on Hyperbolic Problems, Birkhäuser, 2000, 2, 475-484. Zeige BibTex