Conformal and Low-Rank Sparse Representation for Image Restoration.
Jianwei LiXiaowu ChenDongqing ZouBo GaoWei TengPublished in: ICCV (2015)
Keyphrases
- image restoration
- low rank
- sparse representation
- high dimensional data
- low rank matrix recovery
- convex optimization
- total variation
- dictionary learning
- sparse coding
- norm minimization
- missing data
- matrix factorization
- low rank matrix
- linear combination
- kernel matrix
- singular value decomposition
- image processing
- super resolution
- semi supervised
- image classification
- dimensionality reduction
- matrix completion
- regularization parameter
- face recognition
- markov random field
- negative matrix factorization
- compressive sensing
- nearest neighbor
- low rank and sparse
- data sets
- blurred images
- piecewise smooth
- high order
- high dimensional
- data points
- image representation
- signal processing
- low dimensional
- feature extraction
- image patches
- random projections
- input data
- gaussian noise
- neural network
- interior point methods
- collaborative filtering
- small number
- computer vision
- machine learning
- data analysis