Weighted Low-Rank Approximation of Matrices and Background Modeling.
Aritra DuttaXin LiPeter RichtárikPublished in: CoRR (2018)
Keyphrases
- low rank approximation
- background modeling
- subspace learning
- dimensionality reduction
- manifold learning
- data representation
- sparse representation
- low dimensional
- singular value decomposition
- face recognition
- learning algorithm
- high dimensional data
- principal component analysis
- sparse coding
- semi supervised
- machine learning
- background subtraction