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Table 3 Absolute improvement (%) wrt the PCA baseline when bases are learned from the unlabeled GT data sets

From: High level feature extraction for the self-taught learning algorithm

Training Dictionary size K
Set 100 200 300 500
GT-50
IS-20 13.6 16.1 15.9 16.8
IS-50 11.1 11.3 13.5 14.0
IS-100 −0.7 0.4 2.0 1.7
IS-250 −0.6 −0.3 0.0 −0.6
GT-100
IS-20 13.3 15.7 15.4 16.7
IS-50 10.5 10.9 13.7 13.7
IS-100 −0.9 1.0 1.7 1.5
IS-250 −0.4 −0.5 0.0 −0.3
GT-250
IS-20 13.8 15.9 18.1 17.3
IS-50 10.5 11.4 15.7 13.5
IS-100 −0.6 0.9 2.5 1.6
IS-250 −0.9 0.1 0.1 −0.5
GT-500
IS-20 14.4 15.9 15.2 16.8
IS-50 11.1 11.2 14.0 14.0
IS-100 −0.4 1.4 2.1 1.5
IS-250 −0.9 0.1 0.2 −0.3