270 search results - page 4 / 54 » Hierarchical Gaussian process latent variable models |
ICTAI
2005
IEEE
13 years 12 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...
AAAI
2007
13 years 8 months ago
2007
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
JMLR
2010
13 years 1 months ago
2010
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
PAMI
2008
13 years 6 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...
ICPR
2008
IEEE
14 years 21 days ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...