Learning Discriminative Feature Representations via Metric Learning for Early Operation of Wind Turbine Anomaly Detection Systems.
Taiki InoueJun OgataMakoto IidaTetsuji OgawaPublished in: ICMLA (2023)
Keyphrases
- anomaly detection
- feature representations
- metric learning
- unsupervised learning
- learning tasks
- semi supervised
- reinforcement learning
- supervised learning
- distance metric
- learning algorithm
- pairwise
- active learning
- learning problems
- multi task
- feature representation
- image retrieval
- data sets
- bayesian networks
- training data
- similarity measure
- neural network