Subspace based low rank and joint sparse matrix recovery.
Sampurna BiswasSunrita PoddarSoura DasguptaRaghuraman MudumbaiMathews JacobPublished in: CoRR (2014)
Keyphrases
- sparse matrix
- low rank matrix
- low rank
- sparse linear
- low rank representation
- high dimensional data
- rank minimization
- linear combination
- random projections
- singular value decomposition
- affinity matrix
- convex optimization
- matrix factorization
- missing data
- regularized regression
- low dimensional
- high dimensional
- feature space
- dimensionality reduction
- principal component analysis
- subspace clustering
- semi supervised
- data matrix
- dimension reduction
- high order
- floating point
- kernel matrix
- principal components
- rows and columns
- high dimensionality
- least squares
- data sets
- collaborative filtering
- nearest neighbor
- data analysis