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Found 3 papers, 1 papers with code
Deep Diffusion Processes for Active Learning of Hyperspectral Images
A method for active learning of hyperspectral images (HSI) is proposed, which combines deep learning with diffusion processes on graphs.
Balancing Geometry and Density: Path Distances on High-Dimensional Data
New geometric and computational analyses of power-weighted shortest-path distances (PWSPDs) are presented.
Map matching when the map is wrong: Efficient vehicle tracking on- and off-road for map learning
Given a sequence of possibly sparse and noisy GPS traces and a map of the road network, map matching algorithms can infer the most accurate trajectory on the road network.
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