Low-Rank Matrix Completion Based on Maximum Likelihood Estimation.
Jinhui ChenJian YangPublished in: ACPR (2013)
Keyphrases
- maximum likelihood estimation
- matrix completion
- low rank
- matrix factorization
- convex optimization
- missing data
- linear combination
- maximum likelihood
- em algorithm
- low rank matrix
- singular value decomposition
- rank minimization
- high dimensional data
- high order
- parameter estimation
- norm minimization
- semi supervised
- expectation maximization
- probability distribution
- kernel matrix
- singular values
- low rank matrices
- collaborative filtering
- trace norm
- low rank approximation
- active learning
- image processing