Anomaly detection in mixed telemetry data using a sparse representation and dictionary learning.
Barbara PilastreLoïc BoussoufStéphane D'EscrivanJean-Yves TourneretPublished in: Signal Process. (2020)
Keyphrases
- anomaly detection
- dictionary learning
- sparse representation
- telemetry data
- sparse coding
- intrusion detection
- image super resolution
- image classification
- network traffic
- face recognition
- unsupervised learning
- group sparsity
- image patches
- test images
- negative matrix factorization
- random projections
- compressive sensing
- intrusion detection system
- high dimensional data
- signal processing
- single image super resolution
- sparse codes
- network security
- machine learning
- image representation
- dimensionality reduction
- sparsity constraints
- genetic algorithm
- training set
- feature space
- multiscale