Nonparametric low-rank tensor imputation.
Juan Andrés BazerqueGonzalo MateosGeorgios B. GiannakisPublished in: SSP (2012)
Keyphrases
- low rank
- missing data
- trace norm
- frobenius norm
- tensor decomposition
- high order
- missing values
- matrix factorization
- matrix completion
- low rank matrix
- high dimensional data
- linear combination
- structure from motion
- rank minimization
- incomplete data
- kernel matrix
- tensor factorization
- singular value decomposition
- low rank matrices
- convex optimization
- matrix decomposition
- higher order
- dimensionality reduction
- hierarchical bayesian
- singular values
- data matrix
- robust principal component analysis
- low rank approximation
- non rigid structure from motion
- diffusion tensor