Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...