64 search results - page 3 / 13 » Invariance in Kernel Methods by Haar-Integration Kernels |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Graph structures have been proved important in high level-vision since they can be used to represent structural and relational arrangements of objects in a scene. One of the probl...
PRL
2006
13 years 7 months ago
2006
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
Camera shake is a common source of degradation in photographs. Restoring blurred pictures is challenging because both the blur kernel and the sharp image are unknown, which makes ...
IJON
2007
13 years 7 months ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...