176 search results - page 26 / 36 » Learning with Transformation Invariant Kernels |
CVPR
2006
IEEE
15 years 26 days ago
2006
IEEE
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
CORR
2008
Springer
13 years 11 months ago
2008
Springer
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...
ESANN
2001
14 years 7 days ago
2001
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
DAGM
2011
Springer
12 years 10 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...