 | 2009 |
|---|
| 10 |       | 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 |
|---|
| 9 | | Bernard Haasdonk,
Elzbieta Pekalska:
Indefinite Kernel Fisher Discriminant.
ICPR 2008: 1-4 |
| 2007 |
|---|
| 8 | | Bernard Haasdonk,
Hans Burkhardt:
Classification with Invariant Distance Substitution Kernels.
GfKl 2007: 37-44 |
| 7 | | Bernard Haasdonk,
Hans Burkhardt:
Invariant kernel functions for pattern analysis and machine learning.
Machine Learning 68(1): 35-61 (2007) |
| 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 |
