A Fuzzy Kernel Maximum Margin Criterion for Image Feature Extraction

Table 6

The average training times and the average testing times of eleven methods on four face databases: GTFD, Yale B, AR, and FERET for sample numbers per class .

	GTFD		Yale B		AR		FERET
	Train (s)	Test (s)	Train (s)	Test (s)	Train (s)	Test (s)	Train (s)	Test (s)
LPP	0.3985	0.00038	0.2104	0.00031	1.5729	0.00077	3.5654	0.0012
TSA	2.1942	0.0031	1.6920	0.0023	4.6643	0.0065	4.7604	0.0079
KPCA	0.4531	0.0042	0.2843	0.0032	6.2557	0.0099	17.0743	0.0113
KLDA	0.5560	0.0042	0.2990	0.0031	6.373	0.0097	17.9793	0.0114
2DLDA	0.0711	0.0007	0.0991	0.00054	0.1917	0.0016	0.1390	0.0027
LLD	0.3056	0.00035	0.2064	0.00028	2.5272	0.00068	10.0023	0.0011
FIFDA	1.0285	0.00058	0.3920	0.00044	10.2263	0.0011	47.3983	0.0016
LBMMC	17.0785	0.0018	8.7614	0.0014	86.9606	0.0040	178.0315	0.0055
2D-MMC	0.1071	0.0010	0.1647	0.00079	0.3161	0.0024	0.2689	0.0037
B2D-MMC	0.2024	0.00084	0.2450	0.00064	0.4989	0.0018	0.6488	0.0029
FKMMC	0.4472	0.0013	0.2574	0.00098	5.4658	0.0033	15.4058	0.0040