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Table 1 Different learning algorithms supplied with HLFs

From: Hierarchical level features based trainable segmentation for electron microscopy images

Method

Rand error

Warping error

Pixel error

HLFs-SVM

0.81862738

0.00482126

0.06570173

HLFs-AdaBoost

0.71340669

0.00370051

0.07302954

HLFs-Linear

0.41051885

0.00756352

0.13368690

HLFs-RF

0.29548843

0.00282007

0.09258893