33 search results - page 2 / 7 » Sequential Bayesian Kernel Regression |
JMLR
2010
13 years 11 days ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
NN
2008
Springer
13 years 5 months ago
2008
Springer
NN
2010
Springer
13 years 10 days ago
2010
Springer
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...
TIP
2008
13 years 4 months ago
2008
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...