99 search results - page 6 / 20 » Learning the kernel via convex optimization |
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
MMM
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We propose an unsupervised image segmentation method based on texton similarity and mode seeking. The input image is first convolved with a filter-bank, followed by soft cluster...
AAAI
2012
11 years 10 months ago
2012
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...