Learning Low-Rank Regularized Generic Representation With Block-Sparse Structure for Single Sample Face Recognition.
Fan LiuYuhua DingFeng XuQiaolin YePublished in: IEEE Access (2019)
Keyphrases
- low rank
- group sparsity
- sparsity constraints
- face recognition
- learning algorithm
- rank minimization
- matrix factorization
- learning process
- low rank matrix
- linear combination
- structured sparsity
- matrix completion
- sparse linear
- sparse representation
- active learning
- low rank matrices
- robust principal component analysis
- data sets
- low rank subspace
- nuclear norm
- data matrix
- kernel matrix
- higher order
- least squares
- feature vectors