405 search results - page 9 / 81 » Bayesian Gaussian Process Latent Variable Model |
NIPS
2001
14 years 10 months ago
2001
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
JMLR
2010
14 years 4 months ago
2010
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
CSDA
2010
14 years 9 months ago
2010
We propose a model for a point-referenced spatially correlated ordered categorical response and methodology for estimation of model parameters. Models and methods for spatially co...
MICCAI
2004
Springer
15 years 10 months ago
2004
Springer
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...