103 search results - page 2 / 21 » An EM Algorithm for Nonlinear State Estimation With Model Un... |
NIPS
1998
13 years 9 months ago
1998
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
AUTOMATICA
2004
13 years 7 months ago
2004
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present the problem of estimating cortical connectivity between different regions of the cortex from scalp electroencephalographic (EEG) or magnetoencephalographic (MEG) data a...
TSP
2011
13 years 2 months ago
2011
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
JAIR
1998
13 years 7 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...