102 search results - page 1 / 21 » Gaussian Process Structural Equation Models with Latent Vari... |
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
ESANN
2006
13 years 5 months ago
2006
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
HUMO
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...