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- W2058766174 abstract "The problem of defining a consistency measure for object labeling problems is addressed. The optimal probabilistic measures are derived for both discrete and fuzzy solutions. Alternative fuzzy consistency measures are suggested, based on the error each object has in estimating its label using the labels of its neighbors. In general, the best estimation is impractical from computational complexity aspects as well as information considerations. However, if the information available about the problem is probabilities of pairs of events, the best estimation is a linear form." @default.
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- W2058766174 date "1987-07-01" @default.
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- W2058766174 title "On a consistency measure for object labeling problems" @default.
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- W2058766174 doi "https://doi.org/10.1016/0165-0114(87)90100-x" @default.
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