406 search results - page 11 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
JMLR
2010
14 years 4 months ago
2010
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...
ICIP
2002
IEEE
15 years 11 months ago
2002
IEEE
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
PAMI
2008
14 years 9 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
SAC
2008
ACM
14 years 9 months ago
2008
ACM
NIPS
2001
14 years 11 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 ...