Automated anomaly detection and multi-label anomaly classification in crowd scenes based on optimal thresholding and deep learning strategy.
Harshadkumar S. ModiDhaval A. ParikhPublished in: Int. J. Auton. Adapt. Commun. Syst. (2024)
Keyphrases
- anomaly detection
- learning strategies
- multi label
- multi label classification
- image classification
- class labels
- text classification
- intrusion detection
- multi label learning
- detecting anomalies
- anomalous behavior
- network intrusion detection
- text categorization
- anomaly based intrusion detection
- network traffic
- online learning
- learning tasks
- binary classification
- image annotation
- support vector
- active learning
- intrusion detection system
- graph cuts
- unsupervised learning
- classification algorithm
- classification accuracy
- feature vectors
- feature selection
- binary classifiers
- feature space
- one class support vector machines
- supervised learning
- svm classifier
- training samples
- semi supervised learning
- support vector machine
- training set
- cost sensitive
- pattern recognition
- decision trees
- machine learning
- training examples
- hidden markov models
- knowledge discovery
- labeled data
- model selection
- multi class
- nearest neighbor