Subspace based low rank & joint sparse matrix recovery.
Sampurna BiswasSunrita PoddarSoura DasguptaRaghuraman MudumbaiMathews JacobPublished in: ACSSC (2014)
Keyphrases
- sparse matrix
- low rank matrix
- low rank
- sparse linear
- low rank representation
- high dimensional data
- rank minimization
- missing data
- affinity matrix
- matrix factorization
- linear combination
- subspace clustering
- convex optimization
- dimensionality reduction
- singular value decomposition
- low dimensional
- principal component analysis
- regularized regression
- semi supervised
- high dimensional
- high order
- random projections
- feature space
- rows and columns
- singular values
- kernel matrix
- dimension reduction
- high dimensionality
- pairwise
- data matrix
- principal components
- linear discriminant analysis
- data analysis