Low Rank Priors for Color Image Regularization.
Thomas MöllenhoffEvgeny StrekalovskiyMichael MöllerDaniel CremersPublished in: EMMCVPR (2014)
Keyphrases
- low rank
- color images
- trace norm
- rank minimization
- minimization problems
- kernel matrices
- group sparsity
- convex optimization
- missing data
- matrix factorization
- linear combination
- matrix completion
- low rank matrix
- singular value decomposition
- kernel matrix
- matrix decomposition
- semi supervised
- high order
- image processing
- high dimensional data
- low rank approximation
- robust principal component analysis
- multi task
- low rank matrices
- high resolution
- reproducing kernel hilbert space
- background subtraction
- higher order
- collaborative filtering