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ICASSP
2009
IEEE
14 years 2 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
ACMICEC
2008
ACM
276views ECommerce» more  ACMICEC 2008»
13 years 9 months ago
A Bayesian network for IT governance performance prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT...
Mårten Simonsson, Robert Lagerström, Po...
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
13 years 11 months ago
Group Recommending: A methodological Approach based on Bayesian Networks
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
Luis M. de Campos, Juan M. Fernández-Luna, ...
ICIP
2002
IEEE
14 years 9 months ago
Long term tracking using Bayesian networks
This paper addresses long term tracking of multiple objects with occlusions. Bayesian networks are used to model the interaction among the detected tracks and for conflict managem...
Arnaldo J. Abrantes, João Miranda Lemos, Jo...
ICML
2005
IEEE
14 years 8 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg