A Deep Learning Approach to Video Anomaly Detection using Convolutional Autoencoders.
Gopikrishna PavuluriGayathri AnnemPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- deep belief networks
- restricted boltzmann machine
- unsupervised feature learning
- intrusion detection
- network intrusion detection
- anomalous behavior
- mental models
- detecting anomalies
- denoising
- network traffic
- machine learning
- weakly supervised
- intrusion detection system
- sparse coding
- video sequences
- one class support vector machines
- network anomaly detection
- supervised learning
- information retrieval
- neural network
- model selection
- dimensionality reduction
- higher order
- multi class
- object recognition
- computer vision
- detect anomalies
- negative selection algorithm