Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...
The persistent challenge in remote sensing and cartographic science lies in reconciling the geometric fidelity of vectorized outputs with real-world cartographic specifications, while simultaneously ...
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