Research Article
Transfer Extreme Learning Machine with Output Weight Alignment
Table 2
Accuracy of different algorithms on image and text datasets.
| Dataset | Nontransfer learning algorithm | Transfer learning algorithm | 1NN | SVM | ELM | SSELM | TCA + 1NN | TCA + SVM | JDA + 1NN | JDA + SVM | DAELM_S | DAELM_T | ARRLS | TELM-OWA |
| USPS vs. MNIST | 83.41 | 78.60 | 88.52 | 90.95 | 85.22 | 83.66 | 84.78 | 83.66 | 88.40 | 90.77 | 85.34 | 91.95 | MNIST vs. USPS | 91.07 | 84.76 | 94.25 | 94.32 | 90.24 | 83.86 | 87.33 | 84.70 | 92.59 | 93.56 | 91.97 | 94.18 | Average | 87.24 | 81.68 | 91.39 | 92.64 | 87.73 | 83.76 | 86.05 | 84.18 | 90.49 | 92.16 | 88.65 | 93.07 |
| MSRC vs. VOC | 40.31 | 42.75 | 46.74 | 44.38 | 34.20 | 46.82 | 34.85 | 48.13 | 46.74 | 40.15 | 45.11 | 50.16 | VOC vs. MSRC | 61.46 | 51.72 | 75.52 | 78.86 | 68.63 | 70.40 | 67.85 | 72.34 | 76.20 | 80.14 | 68.63 | 85.05 | Average | 50.88 | 47.24 | 61.13 | 61.62 | 51.42 | 58.61 | 51.35 | 60.23 | 61.47 | 60.14 | 56.87 | 67.61 |
| C⟶A (1) | 32.30 | 60.83 | 61.22 | 61.22 | 56.03 | 63.16 | 56.16 | 65.50 | 62.00 | 59.79 | 60.70 | 70.04 | C⟶W (2) | 31.80 | 48.12 | 56.07 | 53.97 | 61.09 | 60.67 | 59.83 | 59.83 | 61.92 | 69.87 | 53.14 | 68.20 | C⟶D (3) | 26.15 | 44.62 | 46.92 | 43.08 | 47.69 | 52.31 | 48.46 | 53.85 | 50.77 | 64.62 | 43.08 | 55.38 | A⟶C (4) | 27.27 | 50.00 | 49.33 | 45.57 | 45.90 | 51.77 | 43.90 | 52.66 | 48.67 | 53.88 | 46.67 | 50.89\ | A⟶W (5) | 40.59 | 57.32 | 49.37 | 46.44 | 59.83 | 54.39 | 56.07 | 54.81 | 52.72 | 64.85 | 47.28 | 69.04 | A⟶D (6) | 26.92 | 40.00 | 39.23 | 43.08 | 36.92 | 46.92 | 50.00 | 46.15 | 46.92 | 60.00 | 42.31 | 53.08 | W⟶C (7) | 26.94 | 49.11 | 43.79 | 44.24 | 42.57 | 49.56 | 40.35 | 48.78 | 44.68 | 54.77 | 43.46 | 45.12 | W⟶A (8) | 39.95 | 61.35 | 56.68 | 53.57 | 57.20 | 63.68 | 58.75 | 66.54 | 60.96 | 64.07 | 55.64 | 62.78 | W⟶D (9) | 63.85 | 89.23 | 81.54 | 83.08 | 91.54 | 90.00 | 90.77 | 86.15 | 77.69 | 64.62 | 84.62 | 81.54 | D⟶C (10) | 27.16 | 48.56 | 47.67 | 47.23 | 43.24 | 51.55 | 43.90 | 51.22 | 47.01 | 56.32 | 46.23 | 45.01 | D⟶A (11) | 42.80 | 64.85 | 60.18 | 57.98 | 60.05 | 68.48 | 57.98 | 68.48 | 62.26 | 63.55 | 62.13 | 61.87 | D⟶W (12) | 66.11 | 83.68 | 82.43 | 85.36 | 92.47 | 87.03 | 89.12 | 89.54 | 81.59 | 60.67 | 91.63 | 88.28 | Average | 37.65 | 58.14 | 56.20 | 55.40 | 57.88 | 61.63 | 57.94 | 61.96 | 58.10 | 61.42 | 56.41 | 62.60 |
| Orgs vs. people (1) | 80.04 | 83.04 | 82.73 | 84.49 | 75.39 | 77.25 | 75.08 | 81.28 | 82.94 | 85.01 | 83.66 | 87.28 | People vs. orgs (2) | 81.94 | 85.57 | 85.67 | 87.59 | 75.68 | 77.60 | 74.37 | 84.36 | 88.09 | 84.36 | 87.39 | 88.50 | Orgs vs. place (3) | 74.85 | 79.16 | 74.97 | 77.25 | 69.58 | 71.98 | 72.57 | 75.09 | 79.64 | 79.76 | 78.56 | 84.67 | Place vs. orgs (4) | 75.55 | 78.38 | 79.12 | 81.94 | 70.39 | 69.04 | 70.39 | 78.26 | 82.06 | 85.63 | 80.34 | 88.45 | People vs. place (5) | 64.62 | 70.30 | 64.73 | 72.74 | 60.79 | 60.32 | 61.60 | 65.55 | 74.48 | 79.47 | 72.27 | 87.12 | Place vs. people (6) | 60.60 | 61.18 | 61.88 | 65.24 | 58.29 | 61.80 | 58.63 | 67.01 | 69.87 | 72.54 | 62.69 | 78.33 | Average | 72.93 | 76.27 | 74.85 | 78.21 | 68.35 | 69.66 | 68.77 | 75.26 | 79.51 | 81.13 | 77.49 | 85.73 |
| Total average | 52.99 | 64.23 | 64.93 | 65.57 | 62.86 | 65.56 | 62.85 | 67.45 | 67.19 | 69.47 | 65.13 | 72.13 |
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