Double sparse low rank decomposition for irregular printed fabric defect detection.
Andong LiuEnjun YangJinhui WuYou TengLi YuPublished in: Neurocomputing (2022)
Keyphrases
- low rank
- tensor decomposition
- low rank matrix
- rank minimization
- low rank subspace
- low rank matrices
- nuclear norm
- low rank representation
- sparse linear
- robust principal component analysis
- convex optimization
- matrix factorization
- missing data
- group sparsity
- kernel matrices
- sparsity constraints
- linear combination
- matrix completion
- high order
- regularized regression
- matrix decomposition
- kernel matrix
- semi supervised
- low rank approximation
- high dimensional data
- singular value decomposition
- sparse matrix
- minimization problems
- data matrix
- trace norm
- singular values
- tensor factorization
- binary matrix
- high dimensional
- collaborative filtering
- affinity matrix
- compressive sensing
- input data
- low rank and sparse
- small number
- recommender systems