Summary: Invariant Kernel Functions for
Pattern Analysis and Machine Learning
Bernard Haasdonk 1
and Hans Burkhardt 2
1
Applied Mathematics Department
Albert-Ludwigs-University Freiburg
Hermann-Herder-Str. 10
79104 Freiburg, Germany
haasdonk@mathematik.uni-freiburg.de
2
Computer Science Department
Albert-Ludwigs-University Freiburg
Georges-K¨ohler-Allee 52
79110 Freiburg, Germany
burkhardt@informatik.uni-freiburg.de
Abstract
In many learning problems prior knowledge about pattern variations can be
formalized and beneficially incorporated into the analysis system. The correspond-
ing notion of invariance is commonly used in conceptionally different ways. We

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung
Haasdonk, Bernard - Institut für Numerische und Angewandte Mathematik, Universität Münster

Collections: Computer Technologies and Information Sciences; Mathematics