Diagnosing and correcting system anomalies with a robust classifier.
John B. Hampshire IIDavid A. WatolaPublished in: ICASSP (1996)
Keyphrases
- training data
- anomaly detection
- label noise
- support vector
- classification process
- linear classifiers
- classification rate
- partial occlusion
- feature set
- multi class
- support vector machine
- input data
- data sets
- extracted features
- robust estimation
- active learning
- computer vision
- root cause
- robust classification
- learning algorithm