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Underwater Acoustic Target Recognition Based on Supervised Feature-Separation Algorithm
For the purpose of improving the accuracy of underwater acoustic target recognition with only a small number of labeled data, we proposed a novel recognition method, including 4 steps: pre-processing, pre-training, fine-tuning and recognition. The 4 steps can be explained as follows: (1) Pre-process...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6308667/ https://ncbi.nlm.nih.gov/pubmed/30544540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18124318 |
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