LRI: A low rank approach to non-local sparse representation for image interpolation.
Mingli ZhangQiang QuSadegh NobariChristian DesrosiersPublished in: IJCNN (2016)
Keyphrases
- image interpolation
- low rank
- sparse representation
- high dimensional data
- low rank matrix recovery
- dictionary learning
- missing data
- sparse coding
- linear combination
- matrix completion
- sparsity constraints
- low rank matrix
- matrix factorization
- locally adaptive
- convex optimization
- singular value decomposition
- dimensionality reduction
- image patches
- semi supervised
- compressive sensing
- group sparsity
- image classification
- compressed sensing
- data sets
- signal processing
- random projections
- low rank and sparse
- reconstruction error
- data analysis
- negative matrix factorization
- high dimensional
- face recognition
- nearest neighbor
- high order
- singular values
- data points
- projections onto convex sets
- pattern recognition
- interior point methods
- image features
- input data
- low dimensional