Takuya Sakuma, Hiroki Matsutani. An Area-Efficient Implementation of Recurrent Neural Network Core for Unsupervised Anomaly Detection. In 2020 IEEE Symposium in Low-Power and High-Speed Chips, COOL CHIPS 2020, Kokubunji, Japan, April 15-17, 2020. pages 1-3, IEEE, 2020. [doi]
@inproceedings{SakumaM20,
title = {An Area-Efficient Implementation of Recurrent Neural Network Core for Unsupervised Anomaly Detection},
author = {Takuya Sakuma and Hiroki Matsutani},
year = {2020},
doi = {10.1109/COOLCHIPS49199.2020.9097631},
url = {https://doi.org/10.1109/COOLCHIPS49199.2020.9097631},
researchr = {https://researchr.org/publication/SakumaM20},
cites = {0},
citedby = {0},
pages = {1-3},
booktitle = {2020 IEEE Symposium in Low-Power and High-Speed Chips, COOL CHIPS 2020, Kokubunji, Japan, April 15-17, 2020},
publisher = {IEEE},
isbn = {978-1-7281-6347-5},
}