Nuclear norm-based matrix regression preserving embedding for face recognition.
Yang-Jun DengHeng-Chao LiQi WangQian DuPublished in: Neurocomputing (2018)
Keyphrases
- nuclear norm
- low rank
- face recognition
- low rank matrix
- singular values
- norm minimization
- low rank matrices
- matrix completion
- sparse representation
- singular value decomposition
- convex optimization
- minimization problems
- matrix factorization
- rank minimization
- regression model
- linear combination
- principal component analysis
- semi supervised
- missing data
- sparse matrix
- linear discriminant analysis
- face images
- kernel matrix
- high dimensional data
- data matrix
- feature extraction
- subspace learning
- approximation methods
- support vector
- high order
- low rank approximation
- convex relaxation
- dimensionality reduction
- total variation
- computer vision