Weighted low rank approximation and reduced rank linear regression.
Karl WernerMagnus JanssonPublished in: ICASSP (2) (2004)
Keyphrases
- linear regression
- low rank approximation
- singular value decomposition
- least squares
- low rank
- subspace learning
- spectral clustering
- regression problems
- data dependent
- nonnegative matrix factorization
- adjacency matrix
- kernel matrix
- iterative algorithms
- weighted graph
- reconstruction error
- latent semantic indexing
- dimensionality reduction
- high dimensional