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- W2113004188 abstract "In this letter, we propose a general framework for greedy reduction of mixture densities of exponential family. The performances of the generalized algorithms are illustrated both on an artificial example where randomly generated mixture densities are reduced and on a target tracking scenario where the reduction is carried out in the recursion of a Gaussian inverse Wishart probability hypothesis density (PHD) filter." @default.
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- W2113004188 date "2015-06-01" @default.
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- W2113004188 title "Greedy Reduction Algorithms for Mixtures of Exponential Family" @default.
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- W2113004188 doi "https://doi.org/10.1109/lsp.2014.2367154" @default.
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