A Bayesian approach to sparse plus low rank network identification.
Mattia ZorziAlessandro ChiusoPublished in: CDC (2015)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- low rank matrices
- low rank subspace
- robust principal component analysis
- convex optimization
- group sparsity
- low rank representation
- sparse linear
- missing data
- nuclear norm
- sparsity constraints
- matrix factorization
- kernel matrices
- linear combination
- matrix completion
- matrix decomposition
- semi supervised
- high order
- high dimensional data
- regularized regression
- kernel matrix
- low rank approximation
- singular value decomposition
- binary matrices
- high dimensional
- minimization problems
- complex networks
- sparse matrix
- data matrix
- singular values
- binary matrix
- sparse representation
- collaborative filtering