Iterative weak/self-supervised classification framework for abnormal events detection.
Bruno DegardinHugo ProençaPublished in: Pattern Recognit. Lett. (2021)
Keyphrases
- abnormal events
- automatic detection
- pattern recognition
- feature space
- classification accuracy
- decision trees
- breast cancer
- benchmark datasets
- discriminative random fields
- abnormal event detection
- multi category
- automatic classification
- false alarms
- classification method
- decision rules
- learning algorithm
- main contribution
- image classification
- object detection
- feature vectors
- feature selection