Robust Sparse Low-rank Hypergraph Learning under Complex Noise.
Tianhao CuiLei ChenJie XuLei XuPublished in: SMC (2020)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- low rank subspace
- group sparsity
- missing data
- learning algorithm
- low rank representation
- linear combination
- high order
- robust principal component analysis
- matrix factorization
- convex optimization
- sparsity constraints
- high dimensional data
- high dimensional
- pairwise
- learning tasks
- dictionary learning
- kernel methods
- tensor decomposition
- image denoising
- training data
- similarity measure