71 search results - page 11 / 15 » Bayesian Filtering With Random Finite Set Observations |
ICIP
1999
IEEE
14 years 8 months ago
1999
IEEE
Over the last years many statistical models have been proposed to restore tomographical images. However, their use in medical environment has been limited due to several factors. ...
INFOCOM
2005
IEEE
14 years 20 days ago
2005
IEEE
Data dissemination in sensor networks requires four components: resource discovery, route establishment, packet forwarding, and route maintenance. Resource discovery can be the mos...
NIPS
2008
13 years 8 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
UAI
2004
13 years 8 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...