Unveiling anomalies in large-scale networks via sparsity and low rank.
Morteza MardaniGonzalo MateosGeorgios B. GiannakisPublished in: ACSCC (2011)
Keyphrases
- low rank
- sparsity constraints
- group lasso
- missing data
- matrix factorization
- convex optimization
- linear combination
- high dimensional data
- regularized regression
- low rank matrix
- singular value decomposition
- matrix decomposition
- high dimensional
- matrix completion
- rank minimization
- high order
- semi supervised
- complex networks
- sparse representation
- data matrix
- tensor factorization
- sparse approximation
- minimization problems
- structured sparsity
- low rank matrices
- singular values
- pattern recognition
- network structure
- robust principal component analysis
- principal component analysis
- trace norm
- community structure
- machine learning