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IJCAI
2007
15 years 2 months ago
Compiling Bayesian Networks Using Variable Elimination
Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
Mark Chavira, Adnan Darwiche
CVPR
1999
IEEE
16 years 2 months ago
Vision-Based Speaker Detection Using Bayesian Networks
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
ICIP
2002
IEEE
16 years 2 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...
98
Voted
ICPR
2008
IEEE
16 years 1 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
85
Voted
ICML
2007
IEEE
16 years 1 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger