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• W2745768052 abstract "Network tomographic techniques have almost exclusively been built on a strong assumption of mutual independence of link processes. We introduce model classes for link loss processes with non-trivial spatial dependencies, for which the tree topology is nonetheless identifiable from leaf measurements using multicast probing. We show that these classes are large in a well-defined sense, and we provide an algorithm, SLTD, capable of returning the correct topology with certainty in the limit of infinite data." @default.
• W2745768052 created "2017-08-31" @default.
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• W2745768052 date "2018-06-01" @default.
• W2745768052 modified "2023-10-17" @default.
• W2745768052 title "Finding the Right Tree: Topology Inference Despite Spatial Dependences" @default.
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• W2745768052 doi "https://doi.org/10.1109/tit.2017.2739779" @default.
• W2745768052 hasPublicationYear "2018" @default.
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