RES-PCA: A Scalable Approach to Recovering Low-rank Matrices.
Chong PengChenglizhao ChenZhao KangJianbo LiQiang ChengPublished in: CoRR (2019)
Keyphrases
- low rank matrices
- principal component analysis
- singular value decomposition
- low rank
- dimension reduction
- principal components
- face images
- covariance matrix
- face recognition
- feature extraction
- low dimensional
- matrix completion
- high dimensional
- dimensionality reduction
- matrix factorization
- low rank matrix
- pairwise
- subspace learning