Local Sparsity Blocks and Tensor Low Rank Regularized Sparse Unmixing.
Xinru JiangLei SunPeizeng LinPublished in: WHISPERS (2023)
Keyphrases
- low rank
- sparsity constraints
- trace norm
- matrix factorization
- high order
- nonnegative matrix factorization
- tensor factorization
- regularized regression
- tensor decomposition
- frobenius norm
- group lasso
- ell norm
- linear combination
- missing data
- matrix completion
- convex optimization
- low rank matrix
- rank minimization
- singular value decomposition
- sparse linear
- low rank matrices
- negative matrix factorization
- kernel matrix
- nuclear norm
- high dimensional data
- low rank subspace
- semi supervised
- sparse representation
- low rank representation
- data matrix
- higher order
- collaborative filtering
- robust principal component analysis
- structured sparsity
- singular values
- sparse regression
- recommender systems
- compressive sensing
- pairwise
- low rank and sparse
- nearest neighbor
- high dimensional