102 search results - page 4 / 21 » Gaussian Process Structural Equation Models with Latent Vari... |
AROBOTS
2011
13 years 19 days ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
IJCAI
2007
13 years 7 months ago
2007
WiFi localization, the task of determining the physical location of a mobile device from wireless signal strengths, has been shown to be an accurate method of indoor and outdoor l...
ICTAI
2005
IEEE
13 years 11 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...
EOR
2006
13 years 5 months ago
2006
We propose a multivariate statistical framework for regional development assessment based on structural equation modelling with latent variables and show how such methods can be c...
PAMI
2008
13 years 5 months ago
2008
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...