Scaling human activity recognition via deep learning-based domain adaptation
We investigate the problem of making human activityrecognition (AR) scalable–i.e., allowing AR classifiers trainedin one context to be readily adapted to a different contextualdomain. This is important because AR technologies can achievehigh accuracy if the classifiers are trained for a specific ind...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/3977 https://ink.library.smu.edu.sg/context/sis_research/article/4979/viewcontent/1570401905_CameraReady.pdf |
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| Institution: | Singapore Management University |
| Language: | English |