Semi-Supervised Self-Training Method Based on an Optimum-Path Forest
Semi-supervised self-training method can train an effective classifier by exploiting labeled and unlabeled samples. Recently, a self-training method based on density peaks of data (STDP) is proposed. However, it still suffers from some shortcomings to be addressed. For example, STDP is affected by c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8668439/ |