Symmetric generalized low rank approximations of matrices.
Kohei InoueKenji HaraKiichi UrahamaPublished in: ICASSP (2012)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- kernel matrix
- subspace learning
- spectral clustering
- iterative algorithms
- positive definite
- reconstruction error
- nonnegative matrix factorization
- adjacency matrix
- matrix completion
- data dependent
- latent semantic indexing
- singular values
- data sets
- linear combination
- dimensionality reduction
- learning algorithm
- manifold learning
- clustering algorithm
- eigendecomposition
- least squares
- principal component analysis
- metric learning
- kernel methods
- convex optimization