DBCal: Density Based Calibration of classifier predictions for uncertainty quantification.
Alex HagenKarl PazdernikNicole LaHayeMarjolein OostromPublished in: CoRR (2022)
Keyphrases
- training data
- camera calibration
- support vector machine
- probability estimates
- feature selection
- classification process
- uncertain data
- classification method
- learning algorithm
- confidence estimates
- clustering method
- training examples
- class labels
- multiple classifiers
- classification algorithm
- support vector
- decision trees
- anomaly detection
- classifier systems
- feature space
- training set
- svm classifier
- feature set
- focal length
- classification scheme
- linear classifiers
- camera parameters
- decision theory
- density based clustering
- prediction intervals