Rank adaptive atomic decomposition for low-rank matrix completion and its application on image recovery.
Hengyou WangRuizhen ZhaoYigang CenPublished in: Neurocomputing (2014)
Keyphrases
- matrix completion
- low rank
- nuclear norm
- singular values
- matrix factorization
- rank aggregation
- convex optimization
- missing data
- linear combination
- rank minimization
- low rank matrix
- singular value decomposition
- low rank approximation
- high dimensional data
- low rank matrices
- trace norm
- compressive sensing
- norm minimization
- kernel matrix
- semi supervised
- high order
- machine learning
- collaborative filtering
- missing values
- incomplete data
- theoretical guarantees
- image processing