Fabric Defect Detection Method Based on Sparse and Dense Mixed Low-rank Decomposition.
Yan YangJunpu WangZhoufeng LiuChunlei LiBicao LiQingwei XuPublished in: SPAC (2018)
Keyphrases
- detection method
- low rank
- tensor decomposition
- low rank matrix
- rank minimization
- low rank subspace
- low rank matrices
- nuclear norm
- low rank representation
- linear combination
- missing data
- convex optimization
- robust principal component analysis
- face detection
- detection algorithm
- matrix factorization
- matrix completion
- singular value decomposition
- low rank approximation
- regularized regression
- high order
- high dimensional data
- semi supervised
- matrix decomposition
- sparse matrix
- trace norm
- binary matrix
- data sets
- pattern recognition
- sparse coding
- machine learning
- feature selection
- saliency detection
- low rank and sparse
- denoising