Robust Low-Rank Regularized Regression for Face Recognition with Occlusion.
Jianjun QianJian YangFanglong ZhangZhouchen LinPublished in: CVPR Workshops (2014)
Keyphrases
- low rank
- regularized regression
- low rank matrix
- rank minimization
- face recognition
- missing data
- illumination variations
- convex optimization
- matrix factorization
- singular value decomposition
- linear combination
- matrix completion
- kernel matrix
- high dimensional data
- semi supervised
- partial occlusion
- face images
- robust face recognition
- high order
- pattern recognition
- elastic net
- linear discriminant analysis
- data sets
- subspace learning
- discriminant analysis
- collaborative filtering
- pairwise
- feature space
- machine learning