Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.
Jian YangJianjun QianLei LuoFanlong ZhangYicheng GaoPublished in: CoRR (2014)
Keyphrases
- nuclear norm
- face recognition
- pose variations
- low rank
- illumination variations
- low rank matrix
- norm minimization
- singular values
- sparse representation
- face images
- low rank matrices
- matrix completion
- singular value decomposition
- convex optimization
- rank minimization
- minimization problems
- matrix factorization
- linear combination
- partial occlusion
- missing data
- principal component analysis
- lighting conditions
- semi supervised
- sparse matrix
- high dimensional data
- data sets
- facial expressions
- approximation methods
- feature extraction
- affinity matrix
- linear subspace
- data matrix
- feature vectors
- computer vision
- low rank approximation
- signal processing
- convex relaxation
- kernel matrix
- high order