Projective complex matrix factorization for facial expression recognition

EURASIP Journal on Advances in Signal Processing

Table 3 Facial expression recognition rate (%) using the JAFFE dataset with different subspace dimensionalities (case 1: no. training = 1)

No. base	proCMF	NMF	proNMF	conNMF	weiNMF	NeNMF	PCA	GSNMF	uRNGE	usRNGE	sRNGE	ssRNGE
20	71.33	68.11	50.00	45.53	63.36	66.85	51.05	68.11	22.38	31.68	27.62	60.77
30	71.19	70.84	56.01	49.09	68.32	61.05	57.34	70.07	22.10	60.77	33.78	62.31
40	71.47	71.68	57.83	48.60	68.95	63.28	58.74	69.23	28.18	64.27	39.79	60.28
50	70.14	71.12	60.21	52.17	69.02	61.82	57.34	69.09	32.66	63.50	43.15	62.73
60	69.65	69.79	57.34	46.36	72.38	63.71	57.34	70.28	36.78	64.41	47.41	61.82
70	70.07	26.15	60.56	27.34	69.16	62.52	57.34	70.98	42.24	71.40	51.19	70.77
80	69.09	16.01	62.03	27.90	23.50	62.87	NA	69.93	46.64	13.43	59.86	12.31
90	70.28	18.60	63.64	26.01	26.71	61.40	NA	70.91	49.37	13.15	64.55	15.38
100	70.56	52.94	61.54	35.59	15.25	63.36	NA	70.56	53.64	14.06	66.36	15.17
Ave.	70.42	51.69	58.80	39.84	52.96	62.98	57.62	69.91	37.11	44.07	48.19	46.84