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- W2962897248 abstract "A sensor integration framework should be sufficiently general to accurately represent many sensor modalities, and also be able to summarize information in a faithful way that emphasizes important, actionable information. Few approaches adequately address these two discordant requirements. The purpose of this expository paper is to explain why sheaves are the canonical data structure for sensor integration and how the mathematics of sheaves satisfies our two requirements. We outline some of the powerful inferential tools that are not available to other representational frameworks." @default.
- W2962897248 created "2019-07-30" @default.
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- W2962897248 date "2017-07-01" @default.
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- W2962897248 title "Sheaves are the canonical data structure for sensor integration" @default.
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- W2962897248 doi "https://doi.org/10.1016/j.inffus.2016.12.002" @default.
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