64 search results - page 6 / 13 » Invariance in Kernel Methods by Haar-Integration Kernels |
CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
ACCV
2007
Springer
15 years 6 months ago
2007
Springer
This paper introduces a novel convex kernel based method for color constancy computation with explicit illuminant parameter estimation. A simple linear render model is adopted and ...
PR
2008
14 years 11 months ago
2008
This paper presents a novel set of geometric moments with symmetric kernel (SGM) obtained using an appropriate transformation of image coordinates. By using this image transformat...
AIIA
2009
Springer
15 years 3 months ago
2009
Springer
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...
ICCV
2007
IEEE
15 years 6 months ago
2007
IEEE
We investigate the problem of learning optimal descriptors for a given classification task. Many hand-crafted descriptors have been proposed in the literature for measuring visua...