176 search results - page 13 / 36 » Learning with Transformation Invariant Kernels |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
When the training instances of the target class are heavily outnumbered by non-target training instances, SVMs can be ineffective in determining the class boundary. To remedy this...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
ECML
2001
Springer
13 years 12 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...