Enhanced nuclear norm based matrix regression for occluded face recognition.
Qin LiHuihui HeHong LaiTie CaiQianqian WangQuanxue GaoPublished in: Pattern Recognit. (2022)
Keyphrases
- nuclear norm
- low rank
- face recognition
- low rank matrix
- singular values
- matrix completion
- low rank matrices
- singular value decomposition
- rank minimization
- minimization problems
- norm minimization
- convex optimization
- linear combination
- matrix factorization
- sparse representation
- face images
- missing data
- sparse matrix
- computer vision
- high dimensional data
- kernel matrix
- high order
- regression model
- semi supervised
- data matrix
- principal component analysis
- image processing
- approximation methods
- low dimensional
- support vector
- total variation