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Table 4 The lowest classification error rates achieved by different algorithms on the two data sets. All the methods used the promising CLS [17] linear classifier

From: SDRNF: generating scalable and discriminative random nonlinear features from data

 

SDRNF

GEM

RKS

PCA

MNIST

1.55

1.12

2.27

9.34

CIFAR-10

45.02

59.29

51.75

60.30