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- W75804949 abstract "In this paper, we introduce a novel non-parametric thresholding method that we term Mutual-InformationThresholding. In our approach, we choose the two detection thresholds for two input signals such that themutual information between the thresholded signals is maximised. Two efficient algorithms implementing ouridea are presented: one using dynamic programming to fully explore the quantised search space and the othermethod using the Simplex algorithm to perform gradient ascent to significantly speed up the search, under theassumption of surface convexity. We demonstrate the effectiveness of our approach in foreground detection(using multi-modal data) and as a component in a person detection system." @default.
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- W75804949 date "2006-01-01" @default.
- W75804949 modified "2023-10-05" @default.
- W75804949 title "DETECTION THRESHOLDING USING MUTUAL INFORMATION" @default.
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- W75804949 doi "https://doi.org/10.5220/0001368404080415" @default.
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