Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.
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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