Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System.
Shicheng YangYing WenLianghua HeMengChu ZhouAbdullah AbusorrahPublished in: IEEE Internet Things J. (2021)
Keyphrases
- low rank
- sparsity constraints
- face recognition
- low rank matrix
- rank minimization
- low rank matrices
- convex optimization
- missing data
- matrix factorization
- low rank subspace
- nuclear norm
- robust principal component analysis
- sparse representation
- matrix decomposition
- kernel matrix
- matrix completion
- low rank representation
- regularized regression
- low rank approximation
- linear combination
- high order
- singular value decomposition
- kernel matrices
- semi supervised
- face images
- binary matrices
- tensor decomposition
- trace norm
- high dimensional data
- singular values
- image representation
- sparse matrix
- sparse coding
- dictionary learning
- minimization problems
- low rank and sparse
- markov random field
- data matrix