LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity.
Yikai WangYing GuoPublished in: CoRR (2020)
Keyphrases
- low rank
- decomposition method
- matrix completion
- network connectivity
- singular value decomposition
- low rank matrix
- sparsity constraints
- convex optimization
- matrix decomposition
- missing data
- linear combination
- data matrix
- singular values
- low rank approximation
- low rank matrices
- matrix factorization
- rank minimization
- low rank and sparse
- semi supervised
- decomposition algorithm
- high order
- high dimensional
- affinity matrix
- trace norm
- high dimensional data
- kernel matrix
- network bandwidth
- feature selection
- higher order
- sensor networks
- active learning
- pairwise
- feature extraction