Changming Xu

Feature learning model based on Feature space constraints and Self-Attention learning

2023

Supervised time series anomaly detection is of significant importance in both machine learning research and industrial applications. Autoencoder-based methods have achieved outstanding performance in this field. However, these methods often suffer from the challenge of …