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The descriptions of the key parameters.
| Chapter Content | Name List |
|---|---|
| 3.1 ELM Classifier Training | ELM hidden nodes number: L |
| Regularization parameter: μ | |
| 3.2 Reducing Candidate Samples | Proportion parameter: ζ |
| 3.3 Constrained Sparse Representation | Regularization parameters: λ and γ |
| 3.4 Template Updating Scheme | Updating threshold parameter: τ |
