Matrix Completion Based on Low-Rank and Local Features Applied to Images Recovery and Recommendation Systems.
Ying ZhangKai XuSongfeng LiangChen ZhaoPublished in: IEEE Access (2022)
Keyphrases
- low rank
- matrix completion
- recommendation systems
- collaborative filtering
- singular values
- low rank matrix
- matrix factorization
- rank minimization
- convex optimization
- missing data
- input image
- singular value decomposition
- linear combination
- high dimensional data
- image retrieval
- high order
- low rank matrices
- image classification
- recommender systems
- kernel matrix
- norm minimization
- trace norm
- feature extraction
- feature set
- feature vectors
- information retrieval systems
- dimensionality reduction
- small number
- convex relaxation
- stochastic gradient descent
- information retrieval
- machine learning