Adversarial Domain Adaptation for Sensor Networks
With the recent surge of big data, manually annotating datasets has become an impossible task. Asa result, domain adaptation has gained more importance than ever, since it allows the transfer oflearning from a labeled dataset to an unlabeled one. That is even truer for sensor networks, wherethe doma...
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| Format: | masterThesis |
| Language: | eng |
| Published: |
2020
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| Online Access: | https://hdl.handle.net/10216/128553 |
| Country: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/128553 |