155 search results - page 12 / 31 » Sparse support vector machines trained in the reduced empiri... |
JMLR
2006
13 years 8 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
JMLR
2006
13 years 8 months ago
2006
We introduce a computational design for pattern detection based on a tree-structured network of support vector machines (SVMs). An SVM is associated with each cell in a recursive ...
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We examine the set covering machine when it uses data-dependent half-spaces for its set of features and bound its generalization error in terms of the number of training errors an...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...