Low-rank matrix completion by variational sparse Bayesian learning.
S. Derin BabacanMartin LuessiRafael MolinaAggelos K. KatsaggelosPublished in: ICASSP (2011)
Keyphrases
- matrix completion
- low rank
- linear combination
- missing data
- convex optimization
- matrix factorization
- singular value decomposition
- kernel matrix
- low rank matrix
- image segmentation
- rank minimization
- high order
- semi supervised
- high dimensional data
- singular values
- trace norm
- incomplete data
- optical flow
- data sets
- least squares
- pairwise
- image processing