725 search results - page 1 / 145 » Invariances in kernel methods: From samples to objects |
PRL
2006
13 years 4 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...
ICIP
1997
IEEE
14 years 6 months ago
1997
IEEE
This paper presents an e cient scheme for a neinvariant object recognition. A ne invariance is obtained by a representation which is based on a new sampling con guration in the fr...
ICPR
2008
IEEE
13 years 11 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...
ICIAP
2007
ACM
14 years 4 months ago
2007
ACM
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
CVPR
2003
IEEE
14 years 6 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...