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HYBRID
2000
Springer
15 years 1 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
SDB
1995
91views Database» more  SDB 1995»
15 years 1 months ago
Semantics in Spatial Databases
In this paper we discuss two data models for spatial database systems: the linear data model and the topological data model. Both can be used to model a wide range of applications....
Bart Kuijpers, Jan Paredaens, Luc Vandeurzen
IJCAI
2007
14 years 11 months ago
Fast Incremental Square Root Information Smoothing
We propose a novel approach to the problem of simultaneous localization and mapping (SLAM) based on incremental smoothing, that is suitable for real-time applications in large-sca...
Michael Kaess, Ananth Ranganathan, Frank Dellaert
NIPS
2007
14 years 11 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
83
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NETWORKING
2004
14 years 11 months ago
Multi-domain Diagnosis of End-to-End Service Failures in Hierarchically Routed Networks
Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...
Malgorzata Steinder, Adarshpal S. Sethi