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» Optimal measures and transition kernels
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CORR
2010
Springer
106views Education» more  CORR 2010»
13 years 1 months ago
Optimal measures and transition kernels
Abstract. We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on infor...
Roman V. Belavkin
CAIP
1997
Springer
13 years 9 months ago
Optimally Rotation-Equivariant Directional Derivative Kernels
Abstract. We describe a framework for the design of directional derivative kernels for two-dimensional discrete signals in which we optimize a measure of rotation-equivariance in t...
Hany Farid, Eero P. Simoncelli
PR
2006
93views more  PR 2006»
13 years 4 months ago
Learning the kernel parameters in kernel minimum distance classifier
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ICCV
2007
IEEE
13 years 11 months ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu
WADS
2009
Springer
232views Algorithms» more  WADS 2009»
13 years 11 months ago
On Making Directed Graphs Transitive
We present the first thorough theoretical analysis of the Transitivity Editing problem on digraphs. Herein, the task is to perform a minimum number of arc insertions or deletions ...
Mathias Weller, Christian Komusiewicz, Rolf Nieder...