28 search results - page 2 / 6 » Efficient Sampling for Gaussian Process Inference using Cont... |
NIPS
2001
13 years 6 months ago
2001
We present an extension to the Mixture of Experts (ME) model, where the individual experts are Gaussian Process (GP) regression models. Using an input-dependent adaptation of the ...
BMCBI
2007
13 years 4 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
SAC
2011
ACM
12 years 11 months ago
2011
ACM
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
IJCV
2008
13 years 4 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...