Abstract: In ordinal classification, misclassifying neighboring ranks is common, yet the consequences of these errors are not the same. For example, misclassifying ...
A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
Abstract: We propose a semi-supervised ordinal classification method based on ranking consistency regularization, addressing limitations in capturing ordinal relationships and mitigating semantic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results