102 search results - page 11 / 21 » Robust Regularized Kernel Regression |
CORR
2007
Springer
14 years 11 months ago
2007
Springer
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...
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KDD
2004
ACM
16 years 1 days ago
2004
ACM
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
ICANN
2005
Springer
15 years 5 months ago
2005
Springer
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
ISNN
2004
Springer
15 years 5 months ago
2004
Springer
In this paper, a kernel-based SOM-face method is proposed to recognize expression variant faces under the situation of only one training image per person. Based on the localization...