Research map / Label-efficient and robust learning / Semi-supervised learning
Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use DSSDL semi-supervised dictionary learning instead of supervised FDDL | class-specific dictionary learning · Extended YaleB, 2 labeled per class | recognition rate (%): about 10% higher | Helped |
| use DSSDL instead of the second-best semi-supervised method SSP-DL | digit recognition · MNIST | recognition rate (%): 85.8 -> 88.3 | Helped |
| use DSSDL instead of USSDL | texture classification · Texture25, 15 labeled per class | recognition rate (%): 57.7 -> 68.2 | Helped |
| use a strong entropy weight beta | DSSDL · parameter selection | classification performance | Hurt |
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