Skip to main content

Table 1 Facial expression recognition rate (%) using the CK+ dataset with different subspace dimensionalities (case 1: no. training = 1)

From: Projective complex matrix factorization for facial expression recognition

No. base proCMF NMF proNMF conNMF weiNMF NeNMF PCA GSNMF uRNGE usRNGE sRNGE ssRNGE
20 94.86 85.41 73.78 41.28 85.06 94.30 66.94 95.60 30.87 32.35 48.82 87.00
30 96.09 90.99 78.74 58.99 91.07 89.30 78.93 96.69 40.93 71.97 56.84 92.98
40 96.55 93.88 82.21 73.55 94.17 90.27 80.99 96.01 45.37 92.65 62.54 94.34
50 97.02 94.50 84.84 80.27 94.75 91.80 86.78 96.71 51.94 93.18 66.94 95.08
60 97.02 95.06 83.66 87.40 94.92 92.34 88.02 96.57 55.45 94.88 72.44 95.31
70 97.21 95.18 85.31 90.42 95.62 93.31 89.05 96.71 55.19 95.25 73.45 94.77
80 97.21 95.93 85.89 91.57 95.58 93.27 91.12 96.84 60.29 94.70 75.12 94.65
90 97.29 95.95 86.53 92.42 95.87 93.26 91.53 96.82 62.46 94.74 77.87 94.30
100 97.15 96.03 88.55 92.03 95.62 94.17 91.53 96.86 78.60 94.65 78.99 93.68
Ave. 96.71 93.66 83.28 78.66 93.63 92.45 84.99 96.54 53.46 84.93 68.11 93.57
  1. The best results are indicated in italics