A new approach to compute sparse approximate inverse factors of a matrix.
Davod Khojasteh SalkuyehPublished in: Appl. Math. Comput. (2006)
Keyphrases
- sparse matrix
- coefficient matrix
- orthogonal matrices
- jacobian matrix
- correlation matrix
- matrix inversion
- efficient computation
- factors influencing
- factors affecting
- latent factors
- factors that affect
- image reconstruction
- tensor factorization
- rank minimization
- factors that influence
- low rank matrices
- low rank approximation
- sparse representation
- eigenvalue decomposition
- sparse data
- random projections
- high dimensional
- neural network
- symmetric positive definite
- binary matrices
- tensor decomposition
- low rank matrix
- projection matrix
- linear algebra
- rows and columns
- square root
- compressed sensing