Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers.
Dimity MillerNiko SünderhaufMichael MilfordFeras DayoubPublished in: CoRR (2020)
Keyphrases
- training set
- training examples
- test set
- clustering algorithm
- linear svm
- outlier detection
- training samples
- class labels
- clustering method
- k means
- multiclass classification
- feature selection
- supervised classification
- decision trees
- classifier training
- training process
- class imbalanced
- learning algorithm
- naive bayes
- support vector
- neural network
- trained classifiers
- self organizing maps
- supervised learning
- categorical data
- discriminative classifiers
- linear classifiers
- training dataset
- supervised training
- class membership
- training data
- learning machines
- data streams
- data points
- euclidean distance
- svm classifier
- distance measure
- unsupervised learning