Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank.
Morteza MardaniGonzalo MateosGeorgios B. GiannakisPublished in: IEEE J. Sel. Top. Signal Process. (2013)
Keyphrases
- low rank
- sparsity constraints
- matrix factorization
- convex optimization
- linear combination
- low rank matrix
- missing data
- rank minimization
- matrix completion
- singular value decomposition
- trace norm
- high order
- high dimensional data
- matrix decomposition
- semi supervised
- complex networks
- robust principal component analysis
- regularized regression
- sparse representation
- high dimensional
- singular values
- network structure
- particle filter
- low rank matrices
- collaborative filtering
- high resolution
- neural network
- data sets