Summary: ALBERT-LUDWIGS-UNIVERSIT¨AT FREIBURG
INSTITUT F¨UR INFORMATIK
Lehrstuhl f¨ur Mustererkennung und Bildverarbeitung
Invariant Kernel Functions for
Pattern Analysis and Machine Learning
Internal Report 3/05
Bernard Haasdonk and Hans Burkhardt
August 2005
Invariant Kernel Functions for
Pattern Analysis and Machine Learning
Bernard Haasdonk and Hans Burkhardt
Computer Science Department
Albert-Ludwigs-University Freiburg
79110 Freiburg, Germany
{haasdonk,burkhardt}@informatik.uni-freiburg.de
August 29, 2005
Abstract
In many learning problems prior knowledge about pattern variations can
be formalized and beneficially incorporated into the analysis system.The cor-
responding notion of invariance is commonly used in conceptionally different

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