Adaptive Weighted Low-Rank Sparse Representation for Multi-View Clustering.
Mohammad Ahmar KhanGhufran Ahmad KhanJalaluddin KhanTaushif AnwarZubair AshrafIbrahim AtoumNaved AhmadMohammad ShahidMohammad IshratAbdulrahman Abdullah AlghamdiPublished in: IEEE Access (2023)
Keyphrases
- low rank
- sparse representation
- low rank matrix recovery
- multi view clustering
- high dimensional data
- group sparsity
- sparsity constraints
- dictionary learning
- convex optimization
- sparse coding
- missing data
- low rank matrix
- linear combination
- singular value decomposition
- matrix factorization
- multi view
- matrix completion
- compressive sensing
- image classification
- image patches
- compressed sensing
- dimensionality reduction
- random projections
- face recognition
- negative matrix factorization
- norm minimization
- nearest neighbor
- semi supervised
- data points
- high dimensional
- low rank and sparse
- reconstruction error
- image representation
- high order
- low dimensional
- singular values
- signal processing
- data sets
- least squares
- object recognition
- image processing