DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection.
Aleksandra CiprijanovicA. LewisK. PedroSandeep MadireddyBrian NordGabriel N. PerdueStefan M. WildPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- domain adaptation
- semi supervised
- unsupervised anomaly detection
- unsupervised learning
- labeled data
- co training
- unlabeled data
- semi supervised learning
- intrusion detection
- supervised learning
- document classification
- detecting anomalies
- anomalous behavior
- class labels
- network intrusion detection
- decision trees
- intrusion detection system
- label information
- pairwise
- image processing
- text classification
- machine learning
- active learning
- support vector
- neural network
- multi view
- one class support vector machines
- feature vectors
- multiple sources
- feature extraction
- pattern recognition
- target domain
- text documents
- named entities
- detect anomalies
- feature space
- text mining
- training set