A linear time method for the detection of collective and point anomalies.
Alexander Tristan Maximilian FischIdris A. EckleyPaul FearnheadPublished in: Stat. Anal. Data Min. (2022)
Keyphrases
- detection method
- significant improvement
- preprocessing
- synthetic data
- detection algorithm
- experimental evaluation
- anomaly detection
- objective function
- cost function
- similarity measure
- false positive rate
- high precision
- optimization algorithm
- support vector machine svm
- high accuracy
- artificial neural networks
- markov random field
- medical images
- input data
- support vector machine
- probabilistic model
- computational cost
- pairwise
- computational complexity
- segmentation method
- classification method
- multiscale
- optimization method
- detection rate
- learning algorithm