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Sep, 2022
基于拉普拉斯光谱下累加最大缩放面积的数据集复杂度评估
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
TL;DR
本文提出了一种名为cmsAULS的新方法，通过计算Laplacian spectrum的面积来评估数据集的复杂性，从而可以在训练DCNN模型之前有效地预测分类性能，并在六个数据集上实现了最先进的复杂性评估性能。
Abstract
dataset complexity assessment
aims to predict
classification performance
on a dataset with complexity calculation before training a classifier, which can also be used for classifier selection and dataset reductio
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