545 search results - page 8 / 109 » Support Vector Regression Using Mahalanobis Kernels |
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
This paper presents Support Vector Machine (SVM) with local summation kernel for robust face recognition. In recent years, the effectiveness of SVM and local features is reported....
IJON
2007
13 years 8 months ago
2007
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
IJON
2007
13 years 8 months ago
2007
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
ALT
2001
Springer
14 years 5 months ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
ICANN
2001
Springer
14 years 1 months ago
2001
Springer
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...