Image Denoising Using Low-Rank Dictionary and Sparse Representation.
Tao LiWeiwei WangLong XuXiangchu FengPublished in: CIS (2014)
Keyphrases
- low rank
- sparse representation
- high dimensional data
- low rank matrix recovery
- dictionary learning
- sparse coding
- linear combination
- dimensionality reduction
- missing data
- matrix factorization
- semi supervised
- convex optimization
- low rank matrix
- group sparsity
- compressive sensing
- matrix completion
- singular value decomposition
- negative matrix factorization
- kernel matrix
- reconstruction error
- signal processing
- image classification
- sparsity constraints
- image patches
- nearest neighbor
- face recognition
- image representation
- neural network
- low rank and sparse
- high dimensional
- low dimensional
- original data
- random projections
- similarity measure
- collaborative filtering
- data sets
- singular values
- compressed sensing
- sparse coefficients
- high order
- orthogonal matching pursuit
- unsupervised learning
- object detection
- input data
- norm minimization
- pattern recognition
- data analysis
- pairwise