2 papers
cs.LG2025
Linearly Convergent Mixup Learning
Gakuto Obi, Ayato Saito, Yuto Sasaki +1
Learning in the reproducing kernel Hilbert space (RKHS) such as the support vector machine has been recognized as a promising technique. It continues to be highly effective and com…
cs.CV2024
A Study on Unsupervised Anomaly Detection and Defect Localization using Generative Model in Ultrasonic Non-Destructive Testing
Yusaku Ando, Miya Nakajima, Takahiro Saitoh +1
In recent years, the deterioration of artificial materials used in structures has become a serious social issue, increasing the importance of inspections. Non-destructive testing i…