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Table 5 Proposed accuracy method compared with other techniques

From: Facial expression recognition using three-stage support vector machines

Datasets

Method

Classification rate

Proposed method

Validation test

JAFFE

Patch-based Gabor [5]

92.30%

96.71%

Leave-one-out

HOG+SVM [5]

94.30%

LDA + SVM [4]

95.71%

Boosted LBP + SVM [3]

79.80%

98.10%

10-folds

LBP pyramid + SVM [1]

91.36%

LBP + Gabor filter [1]

92.38%

LBP + HOG + PCA + SVM [6]

87.60%

97.62%

5-folds

CK+

HOG+SVM [5]

88.70%

93.29%

Leave-one-out

DNN [7]

93.20%

93.49%

5-fold

RaFD

HOG+SVM [20]

98.50%

99.72%

10-fold