A Low-Rank Approximation for Computing the Matrix Exponential Norm.
Yuri M. NechepurenkoMiloud SadkanePublished in: SIAM J. Matrix Anal. Appl. (2011)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- low rank matrices
- subspace learning
- kernel matrix
- adjacency matrix
- iterative algorithms
- spectral clustering
- latent semantic indexing
- reconstruction error
- frobenius norm
- nonnegative matrix factorization
- data dependent
- least squares
- linear combination
- dimensionality reduction
- semi supervised
- low rank matrix
- information retrieval
- matrix completion
- feature selection
- learning algorithm