23 search results - page 1 / 5 » Rotational Prior Knowledge for SVMs |
ECML
2005
Springer
13 years 10 months ago
2005
Springer
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
JMLR
2012
11 years 7 months ago
2012
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
JAIR
2006
13 years 5 months ago
2006
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...