OptFuse: Low-rank factor estimation by optimal data-driven linear fusion of multiple signal-plus-noise matrices.
Himanshu NayarRaj Rao NadakuditiPublished in: FUSION (2015)
Keyphrases
- low rank
- low rank matrix
- data driven
- missing data
- matrix completion
- singular value decomposition
- matrix factorization
- convex optimization
- linear combination
- matrix decomposition
- low rank matrices
- data matrix
- singular values
- low rank and sparse
- semi supervised
- frobenius norm
- high dimensional data
- sparse matrix
- low rank approximation
- signal recovery
- kernel matrix
- eigendecomposition
- rank minimization
- minimization problems
- high order
- trace norm
- closed form solutions
- signal processing
- original data
- affinity matrix
- compressive sensing
- approximation methods
- higher order
- data sets
- regularized regression