Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection.
Chenyu LiBing ZhangDanfeng HongJing YaoJocelyn ChanussotPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- low rank
- hyperspectral
- network traffic
- network anomaly detection
- intrusion detection
- detect anomalies
- remote sensing
- multispectral
- missing data
- convex optimization
- matrix factorization
- singular value decomposition
- linear combination
- infrared
- intrusion detection system
- semi supervised
- normal behavior
- high order
- high dimensional data
- image data
- unsupervised learning
- satellite images
- kernel matrix
- change detection
- data sets
- least squares
- data analysis
- training data
- markov random field
- data mining
- neural network