Conditioning Latent-Space Clusters for Real-World Anomaly Classification.
Daniel BogdollSvetlana PavlitskaSimon KlausJ. Marius ZöllnerPublished in: CoRR (2023)
Keyphrases
- latent space
- decision trees
- pattern recognition
- support vector
- clustering algorithm
- image classification
- latent variables
- feature vectors
- feature space
- model selection
- cross validation
- machine learning
- data mining
- supervised learning
- dimensionality reduction
- bayesian networks
- machine learning algorithms
- training data
- gaussian process