The paper analyzes top-p versus top-1 hypothesis inclusion under sequential testing, proposes a geometry-aware sensor selection algorithm, and validates it on real testbed data for target localization.
On the consistency of top-k surrogate losses
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Top-P Sensor Selection for Target Localization
The paper analyzes top-p versus top-1 hypothesis inclusion under sequential testing, proposes a geometry-aware sensor selection algorithm, and validates it on real testbed data for target localization.