102 search results - page 9 / 21 » Gaussian Process Structural Equation Models with Latent Vari... |
JMLR
2010
13 years 3 months ago
2010
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
NIPS
1996
13 years 10 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
PAMI
2011
13 years 3 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
CORR
2012
Springer
12 years 4 months ago
2012
Springer
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...