STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks.

Shuochao Yao|Ailing Piao|Wenjun Jiang|Yiran Zhao|Huajie Shao|Shengzhong Liu|Dongxin Liu|Jinyang Li|Tianshi Wang|Shaohan Hu|Lu Su|Jiawei Han|Tarek F. Abdelzaher


Anthology ID:DBLP:conf/www/YaoPJZSLLLWHS0A19
Volume:The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
Year:2019
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2192-2202
URL:https://doi.org/10.1145/3308558.3313426
DOI:https://doi.org/10.1145/3308558.3313426
DBLP:conf/www/YaoPJZSLLLWHS0A19
BibTeX:
@inproceedings{yao-2019-stfnets, author = {Shuochao Yao and Ailing Piao and Wenjun Jiang and Yiran Zhao and Huajie Shao and Shengzhong Liu and Dongxin Liu and Jinyang Li and Tianshi Wang and Shaohan Hu and Lu Su and Jiawei Han and Tarek F. Abdelzaher}, editor = {Ling Liu and Ryen W. White and Amin Mantrach and Fabrizio Silvestri and Julian J. McAuley and Ricardo Baeza-Yates and Leila Zia}, title = {{STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks}}, booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}}, pages = {2192--2202}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3308558.3313426}, doi = {https://doi.org/10.1145/3308558.3313426} }