Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection.
Aleksandra CiprijanovicAshia LewisKevin PedroSandeep MadireddyBrian NordGabriel N. PerdueStefan M. WildPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- domain adaptation
- semi supervised
- unsupervised learning
- unsupervised anomaly detection
- labeled data
- co training
- semi supervised learning
- supervised learning
- intrusion detection
- unlabeled data
- document classification
- anomalous behavior
- network intrusion detection
- detecting anomalies
- text classification
- label information
- machine learning
- detect anomalies
- pattern recognition
- class labels
- support vector machine
- maximum likelihood
- cross domain
- pairwise
- classification algorithm
- image processing
- decision trees
- information retrieval
- feature extraction
- multi view
- active learning
- training set
- named entities
- learning tasks
- transfer learning
- target domain
- sentiment classification
- support vector
- data sources
- prior knowledge
- feature vectors
- feature space