271 search results - page 6 / 55 » Bayesian Reward Filtering |
ICN
2005
Springer
15 years 3 months ago
2005
Springer
: Data filtering is an important approach to reduce energy consumption. Following this idea, Interest is used as a constraint to filter uninterested data in sensor networks. Within...
ECAI
2006
Springer
15 years 1 months ago
2006
Springer
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
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ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
Most object tracking approaches either assume that the number of objects is constant, or that information about object existence is provided by some external source. Here, we show...