Anomaly Detection via Tensor Multisubspace Learning and Nonconvex Low-Rank Regularization.
Sitian LiuChunli ZhuDechao RanGuanghui WenPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2023)
Keyphrases
- anomaly detection
- low rank
- trace norm
- learning algorithm
- learning process
- intrusion detection
- reinforcement learning
- rank minimization
- convex optimization
- unsupervised learning
- singular value decomposition
- robust principal component analysis
- low rank matrices
- anomalous behavior
- missing data
- detecting anomalies
- tensor decomposition
- training data
- data mining
- intrusion detection system
- high order
- linear combination
- multi task
- stochastic gradient descent
- matrix completion
- supervised learning
- k means
- pattern recognition