621 search results - page 112 / 125 » Parameter Estimation Using Kalman Filters with Constraints |
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
Multi-subject analysis of functional Magnetic Resonance Imaging (fMRI) data relies on within-subject studies, which are usually conducted using a massively univariate approach. In...
UAI
2003
13 years 8 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...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In using image analysis to assist a driver to avoid obstacles on the road, traditional approaches rely on various detectors designed to detect different types of objects. We propo...
JAIR
2008
13 years 7 months ago
2008
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
SODA
2000
ACM
13 years 8 months ago
2000
ACM
: k-SAT is one of the best known among a wide class of random constraint satisfaction problems believed to exhibit a threshold phenomenon where the control parameter is the ratio, ...