GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples.
Sen PeiXin ZhangRichard Yida XuGaofeng MengPublished in: CoRR (2021)
Keyphrases
- sample set
- training samples
- training set
- small sample
- data sets
- test sample
- optimum path forest
- representative samples
- training data
- training examples
- learning algorithm
- support vector
- feature selection
- support vector machine
- class labels
- random variables
- random samples
- labeled samples
- class conditional
- feature space
- classification process
- supervised learning
- probability distribution
- linear classifiers
- classification scheme
- object boundaries
- classification algorithm
- learning classifier systems
- training dataset
- sampling methods
- density function
- unlabeled samples
- test data
- training and test data
- classification method
- mixed data
- decision trees
- feature set