143 search results - page 11 / 29 » Modeling Unreliable Observations in Bayesian Networks by Cre... |
IDA
2003
Springer
14 years 25 days ago
2003
Springer
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
EXPERT
2010
13 years 5 months ago
2010
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
UAI
2003
13 years 9 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
2011
IEEE
12 years 11 months ago
2011
IEEE
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
JMLR
2010
13 years 2 months ago
2010
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...