153 search results - page 14 / 31 » On-Line Learning Methods for Gaussian Processes |
PAMI
2008
13 years 7 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
ICTAI
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
NIPS
2007
13 years 9 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
ICIAR
2010
Springer
13 years 5 months ago
2010
Springer
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...