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» Bayesian learning of measurement and structural models
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CVPR
2006
IEEE
14 years 11 months ago
3D People Tracking with Gaussian Process Dynamical Models
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...
Raquel Urtasun, David J. Fleet, Pascal Fua
CEC
2009
IEEE
14 years 3 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
UIC
2007
Springer
14 years 3 months ago
Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices
As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user’s phy...
Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho
CVPR
2000
IEEE
14 years 11 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
ENTCS
2007
110views more  ENTCS 2007»
13 years 9 months ago
A Bayesian Model for Event-based Trust
The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that are often incompatible with traditional security paradigms. One alternativ...
Mogens Nielsen, Karl Krukow, Vladimiro Sassone