Complexity / 2017 / Article / Tab 1

Research Article

Kernel Negative ε Dragging Linear Regression for Pattern Classification

Table 1

Accuracies (%) of different methods on the GT database.

Number of training samples per class5678910

Our method70.8073.5376.0580.2681.3382.36
DLSR50.4850.9352.8053.7753.7754.56
CLSR63.5865.3367.3070.5771.0071.40
NNLS68.9071.0273.8876.8378.2779.68
-SVM70.4272.2074.9379.4680.1781.92
KNN59.3061.7663.8567.4969.2369.40
SRC56.1858.4460.1363.0963.5764.36
LRC68.9071.2273.7877.7179.2080.68
NDLR65.6666.7669.3873.6073.5774.56

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