STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks-Reference-Cited by-同舟云学术

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

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Yao Shuochao¹,Hu Shaohan²,Su Lu³,Han Jiawei¹,Abdelzaher Tarek¹,Piao Ailing⁴,Jiang Wenjun³,Zhao Yiran⁵,Shao Huajie¹,Liu Shengzhong¹,Liu Dongxin¹,Li Jinyang¹,Wang Tianshi¹

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

2. IBM, USA

3. State University of New York at Buffalo, USA

4. University of Washington, USA

5. University of Illinois at Urabna-Champaign, USA

Publisher

ACM Press

Reference33 articles.

1. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).

2. Sourav Bhattacharya and Nicholas D Lane. 2016. Sparsification and separation of deep learning layers for constrained resource inference on wearables. In Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM. ACM, 176-189.

3. Ke-Yu Chen, Daniel Ashbrook, Mayank Goel, Sung-Hyuck Lee, and Shwetak Patel. 2014. AirLink: sharing files between multiple devices using in-air gestures. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 565-569.

4. Ronan Collobert, Jason Weston, Le´on Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. Journal of Machine Learning Research12, Aug (2011), 2493-2537.

5. Yarin Gal and Zoubin Ghahramani. 2015. Dropout as a Bayesian approximation. arXiv preprint arXiv:1506.02157(2015).

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