Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models.
Linxiao YangJun FangHuiping DuanHongbin LiBing ZengPublished in: CoRR (2017)
Keyphrases
- matrix completion
- low rank
- image prior
- convex optimization
- linear combination
- missing data
- maximum likelihood
- low rank matrix
- matrix factorization
- image restoration
- singular value decomposition
- rank minimization
- kernel matrix
- high order
- semi supervised
- high dimensional data
- markov random field
- singular values
- norm minimization
- natural images
- collaborative filtering
- data sets
- bayesian networks
- image denoising
- wavelet transform
- convex relaxation
- posterior distribution
- pairwise
- small number
- maximum a posteriori
- trace norm
- similarity measure