Static and Dynamic Robust PCA via Low-Rank + Sparse Matrix Decomposition: A Review.
Namrata VaswaniPraneeth NarayanamurthyPublished in: CoRR (2018)
Keyphrases
- low rank
- matrix decomposition
- robust principal component analysis
- low rank matrix
- rank minimization
- singular value decomposition
- matrix factorization
- convex optimization
- missing data
- linear combination
- semi supervised
- principal component analysis
- high dimensional data
- high order
- kernel matrix
- data matrix
- nonnegative matrix factorization
- high dimensional
- negative matrix factorization
- sparse matrix
- dimensionality reduction
- face images
- data representation
- random projections
- low rank approximation
- collaborative filtering
- least squares