Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption.
Shicheng YangYing WenLianghua HePublished in: ICASSP (2018)
Keyphrases
- low rank
- face recognition
- low rank matrix
- rank minimization
- low rank matrices
- low rank subspace
- nuclear norm
- low rank representation
- robust face recognition
- robust principal component analysis
- sparse representation
- matrix factorization
- illumination variations
- matrix completion
- linear combination
- missing data
- convex optimization
- matrix decomposition
- regularized regression
- high order
- singular value decomposition
- low rank approximation
- high dimensional data
- semi supervised
- kernel matrix
- varying illumination
- lighting conditions
- tensor decomposition
- correlation filters
- face images
- face recognition systems
- singular values
- human faces
- linear subspace
- trace norm
- principal component analysis
- data sets
- high dimensional
- affinity matrix
- subspace learning
- elastic net
- face recognition algorithms
- pattern recognition
- gabor features
- compressive sensing
- feature extraction
- dictionary learning
- partial occlusion