Bernard Haasdonk

	2012
14		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)
	2010
13		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)
	2009
12		Elzbieta Pekalska, Bernard Haasdonk: Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1017-1032 (2009)
	2008
11		Bernard Haasdonk, Elzbieta Pekalska: Classification with Kernel Mahalanobis Distance Classifiers. GfKl 2008: 351-361
10		Bernard Haasdonk, Elzbieta Pekalska: Indefinite Kernel Fisher Discriminant. ICPR 2008: 1-4
	2007
9		Bernard Haasdonk, Hans Burkhardt: Classification with Invariant Distance Substitution Kernels. GfKl 2007: 37-44
8		Bernard Haasdonk, Hans Burkhardt: Invariant kernel functions for pattern analysis and machine learning. Machine Learning 68(1): 35-61 (2007)
	2006
7		Bernard Haasdonk: Transformation knowledge in pattern analysis with kernel methods: distance and integration kernels. University of Freiburg 2006: 1-151
	2005
6		Bernard Haasdonk, A. Vossen, Hans Burkhardt: Invariance in Kernel Methods by Haar-Integration Kernels. SCIA 2005: 841-851
5		Bernard Haasdonk: Feature Space Interpretation of SVMs with Indefinite Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 482-492 (2005)
	2004
4		Bernard Haasdonk, Claus Bahlmann: Learning with Distance Substitution Kernels. DAGM-Symposium 2004: 220-227
3		Bernard Haasdonk, Alaa Halawani, Hans Burkhardt: Adjustable Invariant Features by Partial Haar-Integration. ICPR (2) 2004: 769-774
	2003
2		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)
	2002
1		Bernard Haasdonk, Daniel Keysers: Tangent Distance Kernels for Support Vector Machines. ICPR (2) 2002: 864-868

Coauthor Index

1	Claus Bahlmann	[4]
2	Hans Burkhardt	[3] [6] [8] [9]
3	Martin Drohmann	[14]
4	Alaa Halawani	[3]
5	Daniel Keysers	[1]
6	Mario Ohlberger	[2] [14]
7	Elzbieta Pekalska	[10] [11] [12]
8	Martin Rumpf	[2]
9	Alfred Schmidt	[2]
10	Kunibert G. Siebert	[2]
11	A. Vossen	[6]

Colors in the list of coauthors

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