59 search results - page 3 / 12 » Most likely heteroscedastic Gaussian process regression |
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
IJCAI
2007
13 years 7 months ago
2007
Gait optimization is a basic yet challenging problem for both quadrupedal and bipedal robots. Although techniques for automating the process exist, most involve local function opt...
ICCV
2011
IEEE
12 years 6 months ago
2011
IEEE
Given the facial points extracted from an image of a face in an arbitrary pose, the goal of facial-point-based headpose normalization is to obtain the corresponding facial points ...
ICIP
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
IJCNN
2006
IEEE
14 years 8 days ago
2006
IEEE
Abstract— Artificial neural networks have proved an attractive approach to non-linear regression problems arising in environmental modelling, such as statistical downscaling, sh...