Table 4. Average classification accuracy on the Extended Yale B Database over K for a fixed rate of 0.3 pixels affected by blocks of salt and pepper noise.

Best result for each classifier is marked bold. Feature dimension = 128.

K	OMP	GOMP	CMP	Cauchy	Fair	Huber	Tukey	Welsch
1	0.38	0.36	0.59	0.53	0.55	0.53	0.51	0.51
2	0.39	0.34	0.90	0.81	0.83	0.87	0.86	0.87
3	0.39	0.30	0.97	0.88	0.88	0.98	0.98	0.98
4	0.37	0.28	0.97	0.88	0.89	0.99	0.99	0.99
5	0.36	0.28	0.97	0.88	0.88	0.99	0.99	0.99
6	0.34	0.28	0.97	0.88	0.88	0.99	0.99	0.99
7	0.34	0.28	0.97	0.88	0.88	0.98	0.99	0.99
8	0.33	0.28	0.97	0.88	0.88	0.98	0.99	0.99
9	0.32	0.28	0.97	0.88	0.88	0.98	0.99	0.99
10	0.31	0.28	0.97	0.88	0.88	0.98	0.99	0.98