Sparse representation-based robust face recognition by graph regularized low-rank sparse representation recovery.
Haishun DuXudong ZhangQingpu HuYandong HouPublished in: Neurocomputing (2015)
Keyphrases
- low rank matrix recovery
- sparse representation
- robust face recognition
- low rank
- low rank and sparse
- sparse coding
- face recognition
- subspace learning
- dictionary learning
- orthogonal matching pursuit
- high dimensional data
- signal recovery
- norm minimization
- image classification
- convex optimization
- matrix factorization
- low rank matrix
- matrix completion
- signal processing
- manifold learning
- linear combination
- compressive sensing
- dimensionality reduction
- image patches
- random projections
- least squares
- singular value decomposition
- high dimensional
- image representation
- feature analysis
- object tracking
- missing data
- face recognition systems
- illumination variations
- unsupervised learning
- computer vision