A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Efficient Sensor Selection for Active Information Fusion
2010
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
In our previous paper, we formalized an active information fusion framework based on dynamic Bayesian networks to provide active information fusion. This paper focuses on a central issue of active information fusion, i.e., the efficient identification of a subset of sensors that are most decision relevant and cost effective. Determining the most informative and cost-effective sensors requires an evaluation of all the possible subsets of sensors, which is computationally intractable,
doi:10.1109/tsmcb.2009.2021272
pmid:19846377
fatcat:r6q2xlprhndxpo26nyep7gkjgi