306 search results - page 12 / 62 » Risk sensitive robust support vector machines |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
NIPS
2007
13 years 9 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
ICML
2006
IEEE
14 years 1 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...