L0-norm Sparse Graph-regularized SVD for Biclustering.
Wenwen MinJuan LiuShi-Hua ZhangPublished in: CoRR (2016)
Keyphrases
- regularized least squares
- singular value decomposition
- low rank approximation
- low rank matrices
- sparsity inducing
- least squares
- mixed norm
- gaussian graphical models
- adjacency matrix
- trace norm
- graph theory
- solution path
- graph representation
- regularization method
- sparse linear
- low rank
- sparse representation
- structured sparsity
- random walk
- objective function
- graph structure
- total least squares
- connected components
- variable selection
- directed graph
- norm minimization
- tensor factorization
- structured data
- high dimensional
- directed acyclic graph
- microarray data
- gene expression data
- missing data
- compressed sensing
- elastic net
- singular values
- compressive sensing
- graph model
- convex optimization
- graph matching
- sparse regression
- sparse coding
- robust principal component analysis