From: High level feature extraction for the self-taught learning algorithm
Training | Dictionary size K | |||
---|---|---|---|---|
Set | 100 | 200 | 300 | 500 |
GT-50 | ||||
IS-20 | −1.53 | 0.27 | −0.93 | −0.54 |
IS-50 | −0.47 | 1.13 | 1.20 | 1.33 |
IS-100 | 0.40 | −0.07 | −0.33 | 0.33 |
IS-250 | −1.07 | 0.00 | 0.20 | 0.00 |
GT-100 | ||||
IS-20 | −1.06 | −0.2 | 0.07 | −0.80 |
IS-50 | −0.67 | 1.20 | 1.67 | 1.20 |
IS-100 | 0.40 | −0.40 | −0.33 | 0.46 |
IS-250 | −0.20 | −0.33 | 0.67 | 0.00 |
GT-250 | ||||
IS-20 | −2.53 | −0.26 | 0.47 | −0.34 |
IS-50 | −0.93 | 1.60 | 1.67 | 1.13 |
IS-100 | −0.06 | 0.27 | 0.47 | −0.80 |
IS-250 | −0.27 | 0.00 | 0.07 | 0.00 |
GT-500 | ||||
IS-20 | −3.06 | −0.93 | 0.27 | −0.94 |
IS-50 | −1.67 | 1.87 | 1.33 | 1.06 |
IS-100 | −0.40 | −0.33 | −0.13 | −0.74 |
IS-250 | −0.87 | −0.40 | −0.67 | 0.00 |