Research Article

Discriminative, Competitive, and Collaborative Representation-Based Classification with -Norm Regularizations

Table 6

The classification accuracies (%) of the competing methods with the corresponding standard deviations under the situations of the random pixel corruptions.

DataRatiosSRCCRCCCRCProCRCEProCRCCo-CRCDSRCDCCRC

IMM0.165.17 ± 1.1164.67 ± 0.6765.33 ± 1.5565.67 ± 1.8663.17 ± 2.3262.17 ± 2.3963.50 ± 1.1166.00±2.07
0.258.67 ± 1.3559.33 ± 1.3358.17 ± 1.2258.17 ± 1.2257.33 ± 1.3353.00 ± 1.6357.17 ± 0.8559.67±1.80
0.351.33 ± 1.3552.17 ± 1.5549.33 ± 1.6249.67 ± 1.8048.67 ± 2.2743.33 ± 2.7448.172.0753.17±3.00
0.440.50 ± 3.6440.50 ± 3.1039.83 ± 2.2640.00 ± 2.1139.83 ± 2.6632.50 ± 2.0432.17 ± 3.6040.83±2.30

Yale0.187.73 ± 2.2989.87 ± 1.8190.67 ± 1.6990.67 ± 1.6989.33 ± 1.8990.93±1.9689.87 ± 2.1790.93±1.96
0.283.47 ± 1.8185.87 ± 1.3686.93 ± 1.3187.47 ± 1.0785.07 ± 1.0086.13 ± 1.8186.40 ± 1.7788.00±1.19
0.379.73 ± 4.2580.27 ± 2.5983.73 ± 2.7283.20 ± 2.6179.73 ± 1.9683.20 ± 2.8783.20 ± 3.4484.53±2.32
0.469.07 ± 2.4474.67 ± 2.2375.73 ± 1.5574.67 ± 2.5370.13 ± 3.2272.00 ± 1.1976.00 ± 1.8976.27±1.55