Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection.
Ruiqiang Liu|Shuai Zhao|Bo Cheng|Hao Yang|Haina Tang|Taoyu Li
| Anthology ID: | DBLP:conf/cikm/Liu00YTL20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 905-914 |
| URL: | https://doi.org/10.1145/3340531.3411920 |
| DOI: | https://doi.org/10.1145/3340531.3411920 |
| DBLP: | conf/cikm/Liu00YTL20 |
| BibTeX: |
@inproceedings{liu-2020-deep,
author = {Ruiqiang Liu and
Shuai Zhao and
Bo Cheng and
Hao Yang and
Haina Tang and
Taoyu Li},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {905--914},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3411920},
doi = {https://doi.org/10.1145/3340531.3411920}
}