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Focusing on steel surface defects, a novel multi-class classification method is proposed. The method is termed as machine learning with quantile hyper-spheres (QH-ML). In order to obtain sparse set with boundary information from finite defect dataset, a new quantile hyper-sphere data description (QHDD) model is proposed. This model is used to generate a quantile hyper-sphere for each finite defect...
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