Improved Non-negative Matrix Factorization Algorithm for Sparse Graph Regularization.
Caifeng YangTao LiuGui-Fu LuZhenxin WangZhi DengPublished in: ICPCSEE (1) (2021)
Keyphrases
- rank minimization
- tensor factorization
- low rank and sparse
- signal recovery
- adjacency matrix
- trace norm
- coefficient matrix
- mixed norm
- random walk
- sparse matrix
- graph laplacian
- low rank
- gaussian graphical models
- graph representation
- elastic net
- graph theory
- solution path
- sparsity regularization
- kernel matrices
- matrix factorization
- low rank approximation
- graph structure
- weighted graph
- graph model
- laplacian matrix
- tensor decomposition
- sparse approximation
- linear algebra
- convex optimization
- graph matching
- positive and negative
- sparse representation
- negative matrix factorization
- support vector
- regularization term