Yukinobu Sakata

Kernel ridge reconstruction for anomaly detection: general and low computational reconstruction

2021 · 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Autoencoders (AEs) have been widely used for anomaly detection because models trained to reconstruct a normal data are expected to have a higher reconstruction error for anomalous data than that for normal data, and the …