31 search results - page 2 / 7 » On Nonparametric Residual Variance Estimation |
ESANN
2008
13 years 6 months ago
2008
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
ESANN
2006
13 years 6 months ago
2006
In this paper, the problem of an optimal transformation of the input space for function approximation problems is addressed. The transformation is defined determining the Mahalanob...
ECCV
2006
Springer
13 years 9 months ago
2006
Springer
Common problem encountered in the analysis of dynamic scene is the problem of simultaneous estimation of the number of models and their parameters. This problem becomes difficult a...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper we address the image restoration problem in the variational framework. Classical approaches minimize the Lp norm of the residual and rely on parametric assumptions o...
ICANN
2009
Springer
13 years 10 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...