307 search results - page 25 / 62 » A Dynamic Bayesian Network Approach to Tracking Using Learne... |
UAI
2003
13 years 10 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
ICMCS
2008
IEEE
14 years 3 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
JCB
2006
13 years 8 months ago
2006
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
PAKDD
2009
ACM
14 years 3 months ago
2009
ACM
Abstract. We propose a new approach to modeling time-varying relational data such as e-mail transactions based on a dynamic extension of matrix factorization. To estimate effectiv...