2190 search results - page 119 / 438 » Mixtures of Gaussian Processes |
151
Voted
JMLR
2012
13 years 7 months ago
2012
In many settings, data is collected as multiple time series, where each recorded time series is an observation of some underlying dynamical process of interest. These observations...
162
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
162
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
125
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
158
Voted
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...