1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis
Chun Yang
Considering the models that apply the contextual information of time-series data could improve the fault diagnosis performance, some neural network structures such as RNN, LSTM, an…
cs.CV2021★ 1 cited
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection
Xingtai Gui, Di Wu, Yang Chang +1
Anomaly detection aims to separate anomalies from normal samples, and the pretrained network is promising for anomaly detection. However, adapting the pretrained features would be…