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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