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. Author manuscript; available in PMC: 2014 Dec 30.
Published in final edited form as: Conf Comput Vis Pattern Recognit Workshops. 2014 Jun;2014:3081–3088. doi: 10.1109/CVPR.2014.394

Table 1.

Performance of different methods on the GBM dataset.

Method DictionarySize=256 DictionarySize=512 DictionarySize=1024
160 training MCSCSPM-HE 92.71 ± 0.91 93.01 ± 1.10 92.65 ± 0.75
MCSCSPM-RGB 92.58 ± 0.94 92.50 ± 0.86 92.47 ± 0.73
MCSCSPM-Gray 86.33 ± 1.12 86.74 ± 0.91 86.69 ± 0.81
PSDSPM [5] 91.02 ± 1.89 91.41 ± 0.95 91.20 ± 1.29
SMLSPM [4] 92.35 ± 0.83 92.57 ± 0.91 92.91 ± 0.84
ScSPM [23] 79.58 ± 0.61 81.29 ± 0.86 82.36 ± 1.10
KSPM [17] 85.00 ± 0.79 86.47 ± 0.55 86.81 ± 0.45

80 training MCSCSPM-HE 91.41 ± 1.07 91.19 ± 0.91 91.13 ± 0.93
MCSCSPM-RGB 90.88 ± 1.06 91.28 ± 0.82 90.85 ± 0.67
MCSCSPM-Gray 84.67 ± 1.63 84.53 ± 1.58 84.56 ± 1.62
PSDSPM [5] 88.63 ± 0.91 88.91 ± 1.18 88.64 ± 1.08
SMLSPM [4] 90.82 ± 1.28 90.29 ± 0.68 91.08 ± 0.69
ScSPM [23] 77.65 ± 1.43 78.31 ± 1.13 81.00 ± 0.98
KSPM [17] 83.81 ± 1.22 84.32 ± 0.67 84.49 ± 0.34

40 training MCSCSPM-HE 89.16 ± 1.04 89.21 ± 0.75 88.84 ± 0.83
MCSCSPM-RGB 89.24 ± 1.03 89.46 ± 1.14 89.53 ± 1.20
MCSCSPM-Gray 81.37 ± 1.55 81.31 ± 1.19 80.80 ± 1.71
PSDSPM [5] 84.06 ± 1.16 83.72 ± 1.46 83.40 ± 1.14
SMLSPM [4] 88.05 ± 1.38 87.88 ± 1.04 88.54 ± 1.42
ScSPM [23] 73.60 ± 1.68 75.58 ± 1.29 76.24 ± 3.05
KSPM [17] 80.54 ± 1.21 80.56 ± 1.24 80.46 ± 0.56