406 search results - page 46 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
SSD
2007
Springer
15 years 3 months ago
2007
Springer
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
UAI
2001
14 years 11 months ago
2001
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper presents a multi-view approach to the tracking of people location and orientation. To achieve efficient and accurate likelihood evaluation, a novel likelihood computat...
ICA
2010
Springer
14 years 10 months ago
2010
Springer
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...