Research Article
Multi-DS Strategy for Source Camera Identification in Few-Shot Sample Data Sets
Algorithm 1
Selecting pseudo-label samples based on multiple distances.
| Symbols: | | : Set of unlabeled samples | | : Set of labels | | : Set of samples with label | | : Collection of distance measures | | : The distance threshold | | : The statistics threshold | (1) | Extract multiple feature vectors from all training samples; | (2) | Calculate multiple distance parameters as follows: | | for and do | | Form distance vector | | Sort in ascend order and take the first entries to form a new vector | | end for | (3) | Selecting pseudo-label samples: | | fordo | | fordo | | Count for in | | if Total count of is greater than a selected threshold then | | Label with pseudo-label (Note: one unlabeled may be marked with multiple pseudo-labels and appended to corresponding labeled sets) | | end if | | end for | | end for |
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