Robust PCA Using Matrix Factorization for Background/Foreground Separation.
Shuqin WangYongli WangYongyong ChenPeng PanZhipeng SunGuoping HePublished in: IEEE Access (2018)
Keyphrases
- matrix factorization
- negative matrix factorization
- collaborative filtering
- missing data
- low rank
- background foreground
- principal component analysis
- nonnegative matrix factorization
- recommender systems
- factor analysis
- factorization methods
- multiscale
- image segmentation
- feature extraction
- tensor factorization
- sparsity constraints