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Data fusion without knowledge of the ground truth using Tseltin-like Automata
2016
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
The fusioning of data from unreliable sensors has received much research attention. The main stream of research assesses the reliability of a sensor by comparing its readings to the ground truth in an online or offline manner. For instance, the Weighted Majority Algorithm is a representative example of a large class of similar legacy algorithms. Recently, some advances have been achieved in identifying unreliable sensors without any knowledge of the ground truth which seems a paradox in itself.
doi:10.1109/smc.2016.7844941
dblp:conf/smc/YazidiS16
fatcat:i5pidml2rjhojhiuwguskfc47e