Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images.
Shicheng YangLe ZhangLianghua HeYing WenPublished in: IEEE Trans. Inf. Forensics Secur. (2019)
Keyphrases
- low rank
- sparsity constraints
- low rank matrix
- rank minimization
- face recognition
- low rank matrices
- low rank subspace
- linear combination
- missing data
- nuclear norm
- sparse representation
- singular value decomposition
- matrix factorization
- convex optimization
- robust principal component analysis
- low quality images
- matrix decomposition
- high dimensional data
- high order
- semi supervised
- low rank approximation
- matrix completion
- regularized regression
- low rank representation
- kernel matrix
- tensor decomposition
- sparse matrix
- trace norm
- high dimensional
- image representation
- feature extraction
- data sets
- recommender systems
- sparse coding
- collaborative filtering
- minimization problems
- high resolution