Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning.
Hao-Chiang ShaoHsing-Lei PingKuo-shiuan ChenWeng-Tai SuChia-Wen LinShao-Yun FangPin-Yian TsaiYan-Hsiu LiuPublished in: CoRR (2022)
Keyphrases
- novelty detection
- active learning
- text filtering
- anomaly detection
- semi supervised
- object recognition
- machine learning
- learning algorithm
- concept drift
- support vector data description
- random sampling
- level set
- supervised learning
- feature selection
- semi supervised learning
- labeled data
- transfer learning
- shape features
- training set
- sentence level
- neural network