176 search results - page 6 / 36 » Learning with Transformation Invariant Kernels |
ICCV
2007
IEEE
14 years 1 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...
ICMLA
2009
13 years 5 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
ICCV
2009
IEEE
15 years 10 days ago
2009
IEEE
2D Active Appearance Models (AAM) and 3D Morphable
Models (3DMM) are widely used techniques. AAM
provide a fast fitting process, but may represent unwanted
3D transformations un...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...