no code implementations • 22 Aug 2019 • Yong-Ho Yoo, Ue-Hwan Kim, Jong-Hwan Kim
In this paper, we propose a convolutional recurrent reconstructive network (CRRN), which decomposes the anomaly patterns generated by the printer defects, from SPI data.
no code implementations • ICLR 2018 • Yong-Ho Yoo, Kook Han, Sanghyun Cho, Kyoung-Chul Koh, Jong-Hwan Kim
We propose the dense RNN, which has the fully connections from each hidden state to multiple preceding hidden states of all layers directly.