11 search results - page 1 / 3 » In-Place Learning for Positional and Scale Invariance |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
IJCV
2007
13 years 5 months ago
2007
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
NIPS
2007
13 years 6 months ago
2007
This paper considers kernels invariant to translation, rotation and dilation. We show that no non-trivial positive definite (p.d.) kernels exist which are radial and dilation inv...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
CVPR
2009
IEEE
15 years 4 days ago
2009
IEEE
Several recently-proposed architectures for highperformance
object recognition are composed of two main
stages: a feature extraction stage that extracts locallyinvariant
feature...