Uniqueness of Low-Rank Matrix Completion by Rigidity Theory.
Amit SingerMihai CucuringuPublished in: SIAM J. Matrix Anal. Appl. (2010)
Keyphrases
- matrix completion
- low rank
- convex optimization
- missing data
- rank minimization
- matrix factorization
- low rank matrix approximation
- linear combination
- singular value decomposition
- low rank matrix
- norm minimization
- kernel matrix
- low rank matrices
- singular values
- high dimensional data
- semi supervised
- high order
- incomplete data
- point correspondences
- collaborative filtering
- convex relaxation
- trace norm
- missing values
- rank aggregation
- recommender systems
- data sets