File Download
There are no files associated with this item.
SFX Link
- Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
- Gong, Taesik
- Ubiquitous AI Lab
Views & Downloads
Detailed Information
Cited time in 
Cited time in 
Cited time in
Metadata Downloads
Poster: Towards condition-independent deep mobile sensing
- Author(s)
- Gong, Taesik, Kim, Yeonsu, Shin, Jinwoo, Lee, Sung-Ju
- Issued Date
- 2019-06-17
- Citation
- ACM International Conference on Mobile Systems, Applications, and Services, pp.554 - 555
- Abstract
- Deep mobile sensing applications are suffering from various individual conditions in the wild. We propose a meta-learned adaptation technique to adapt to a target condition with a few labeled data. We evaluate our system on a public dataset and it outperforms baselines.
- Publisher
- Association for Computing Machinery, Inc
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.