102 search results - page 4 / 21 » Robust Regularized Kernel Regression |
PAMI
2010
14 years 8 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
64
Voted
MA
2010
Springer
14 years 4 months ago
2010
Springer
93
Voted
CSDA
2007
14 years 9 months ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
72
Voted
SCALESPACE
2005
Springer
15 years 3 months ago
2005
Springer
We study the connection between higher order total variation (TV) regularization and support vector regression (SVR) with spline kernels in a one-dimensional discrete setting. We p...