Research Article

Discriminative Extreme Learning Machine with Cross-Domain Mean Approximation for Unsupervised Domain Adaptation

Table 5

Accuracy (%) comparison of different algorithms on office-31 (resnet-50).

Data setMethods
1NNSVMELMSSELMDANDANNJANCANDAELM_SDAELM_TARRLSTELM-OWAELM-CDMADELM-CDMADKELM-CDMA

Amazon vs dslr (1)79.180.782.183.378.679.784.785.583.938.285.777.786.786.785.3
Amazon vs webcam (2)75.975.477.577.680.582.085.481.577.732.183.476.080.684.478.5
Dslr vs amazon (3)60.262.864.066.163.668.268.665.964.629.471.765.268.769.567.3
Dslr vs webcam (4)96.096.294.295.597.196.997.498.294.012.897.194.295.497.796.1
Webcam vs amazon (5)59.962.365.666.262.867.470.063.466.083.270.466.168.368.467.3
Webcam vs dslr (6)99.499.698.698.099.699.199.899.799.081.399.098.499.099.499.4
Total average78.479.580.381.180.482.284.382.480.946.284.679.683.184.482.3