102 search results - page 4 / 21 » Gaussian Process Structural Equation Models with Latent Vari... |
187
Voted
AROBOTS
2011
14 years 10 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
122
Voted
IJCAI
2007
15 years 5 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...
128
Voted
ICTAI
2005
IEEE
15 years 9 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...
119
Voted
EOR
2006
15 years 3 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...
126
Voted
PAMI
2008
15 years 3 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...