Anomaly Detection in Mixed Time-Series Using A Convolutional Sparse Representation With Application To Spacecraft Health Monitoring.
Barbara PilastreGustavo SilvaLoïc BoussoufStéphane D'EscrivanPaul RodríguezJean-Yves TourneretPublished in: ICASSP (2020)
Keyphrases
- anomaly detection
- sparse representation
- sparse coding
- intrusion detection
- dictionary learning
- health monitoring
- detecting anomalies
- detect anomalies
- network traffic
- network intrusion detection
- intrusion detection system
- image classification
- unsupervised learning
- face recognition
- monitoring system
- anomalous behavior
- linear combination
- data sets
- sensor data
- daily life
- high dimensional data
- image representation
- dimensionality reduction
- artificial intelligence