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» Hidden Markov Models with Multiple Observation Processes
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ICASSP
2008
IEEE
15 years 8 months ago
Stream weight tuning in dynamic Bayesian networks
In this paper we present a family of algorithms for estimating stream weights for dynamic Bayesian networks with multiple observation streams. For the 2 stream case, we present a ...
Arthur Kantor, A. Hasegawa-Johnson
PVM
2007
Springer
15 years 8 months ago
(Sync|Async)+ MPI Search Engines
We propose a parallel MPI search engine that is capable of automatically switching between asynchronous message passing and bulk-synchronous message passing modes of operation. Whe...
Mauricio Marín, Veronica Gil Costa
155
Voted
ICASSP
2011
IEEE
14 years 5 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
QEST
2007
IEEE
15 years 8 months ago
GRIP: Generic Representatives in PRISM
We give an overview of GRIP, a symmetry reduction tool for the probabilistic model checker PRISM, together with experimental results for a selection of example specifications. 1 ...
Alastair F. Donaldson, Alice Miller, David Parker
IPMI
2009
Springer
16 years 2 months ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...