Table 2 Facial expression recognition rate (%) using the CK+ dataset with different subspace dimensionalities (case 2: no. training = 2)
From: Projective complex matrix factorization for facial expression recognition
No. base | proCMF | NMF | proNMF | conNMF | weiNMF | NeNMF | PCA | GSNMF | uRNGE | usRNGE | sRNGE | ssRNGE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
20 | 96.78 | 84.44 | 77.25 | 29.37 | 84.49 | 94.75 | 72.73 | 98.04 | 28.95 | 78.18 | 41.74 | 91.76 |
30 | 97.99 | 91.38 | 80.83 | 41.85 | 91.32 | 94.08 | 78.24 | 98.26 | 35.65 | 87.19 | 53.28 | 96.69 |
40 | 98.40 | 94.55 | 81.30 | 53.83 | 94.60 | 94.41 | 85.67 | 98.71 | 42.56 | 95.43 | 61.18 | 97.02 |
50 | 98.57 | 96.03 | 85.32 | 65.37 | 95.15 | 94.52 | 90.36 | 98.54 | 47.77 | 97.33 | 66.39 | 97.66 |
60 | 98.68 | 97.02 | 84.54 | 76.78 | 96.47 | 94.38 | 92.56 | 96.36 | 51.93 | 98.07 | 70.39 | 97.93 |
70 | 98.76 | 96.70 | 86.39 | 82.26 | 97.11 | 93.72 | 92.84 | 95.65 | 54.66 | 98.29 | 70.74 | 97.91 |
80 | 98.59 | 97.91 | 87.47 | 86.28 | 97.66 | 94.21 | 93.94 | 97.74 | 59.26 | 98.21 | 74.74 | 98.18 |
90 | 98.76 | 97.88 | 86.89 | 89.84 | 97.49 | 94.16 | 95.32 | 98.21 | 66.25 | 98.29 | 74.68 | 98.15 |
100 | 98.79 | 97.85 | 87.99 | 92.78 | 97.47 | 93.28 | 95.87 | 98.21 | 70.74 | 98.29 | 74.35 | 98.24 |
Ave. | 98.37 | 94.86 | 84.22 | 68.71 | 94.64 | 94.17 | 88.61 | 97.75 | 50.86 | 94.36 | 65.28 | 97.06 |