1235 search results - page 14 / 247 » Learning with Idealized Kernels |
IJCV
2007
13 years 9 months ago
2007
We derive a family of kernels on dynamical systems by applying the Binet-Cauchy theorem to trajectories of states. Our derivation provides a unifying framework for all kernels on d...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
ICML
2001
IEEE
14 years 10 months ago
2001
IEEE
The Bayesian framework is ideally suited for induction problems. The probability of observing xt at
IDEAL
2009
Springer
14 years 4 months ago
2009
Springer
We propose a novel, supervised feature extraction procedure, based on an unbiased estimator of the Hilbert-Schmidt independence criterion (HSIC). The proposed procedure can be dire...
NECO
2010
13 years 8 months ago
2010
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...