Approximate Low-Rank Decomposition for Real Symmetric Tensors.
Alperen Ali ErgürJesus Rebollo BuenoPetros ValettasPublished in: CoRR (2022)
Keyphrases
- low rank
- high order
- convex optimization
- low rank matrix
- missing data
- linear combination
- tensor decomposition
- matrix factorization
- matrix completion
- semi supervised
- singular value decomposition
- rank minimization
- kernel matrix
- matrix decomposition
- high dimensional data
- low rank representation
- positive definite
- binary matrix
- higher order
- pairwise
- singular values
- low rank matrices
- trace norm
- non rigid structure from motion
- robust principal component analysis
- minimization problems
- affinity matrix
- tensor factorization
- missing values
- least squares
- high resolution