990 search results - page 34 / 198 » Learning with non-positive kernels |
PAA
2010
13 years 8 months ago
2010
By applying recent results in optimization theory variously known as optimization transfer or majorize/minimize algorithms, an algorithm for binary, kernel, Fisher discriminant ana...
CVPR
2012
IEEE
12 years 5 days ago
2012
IEEE
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
EMNLP
2009
13 years 7 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
ICML
2002
IEEE
14 years 10 months ago
2002
IEEE
The application of kernel-based learning algorithms has, so far, largely been confined to realvalued data and a few special data types, such as strings. In this paper we propose a...