Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification.
Jingbo SunLi YangJiaxin ZhangFrank LiuMahantesh HalappanavarDeliang FanYu CaoPublished in: AAAI (2022)
Keyphrases
- novelty detection
- binary classification
- multi class
- support vector
- cost sensitive
- learning problems
- multi label
- support vector machine
- anomaly detection
- binary classifiers
- concept drift
- prediction accuracy
- class imbalance
- generalization error
- ensemble methods
- change detection
- object recognition
- cross validation
- sample size
- image processing
- class distribution
- computer vision
- information retrieval
- machine learning