Continuous dictionaries meet low-rank tensor approximations.
Clement ElviraJeremy E. CohenCédric HerzetRémi GribonvalPublished in: CoRR (2020)
Keyphrases
- low rank
- trace norm
- high order
- frobenius norm
- tensor decomposition
- matrix factorization
- missing data
- matrix completion
- linear combination
- low rank matrix
- singular value decomposition
- convex optimization
- semi supervised
- rank minimization
- low rank matrices
- kernel matrix
- high dimensional data
- higher order
- sparse representation
- matrix decomposition
- approximation methods
- singular values
- tensor factorization
- non rigid structure from motion
- kullback leibler divergence
- minimization problems
- dimensionality reduction
- data sets
- robust principal component analysis
- collaborative filtering
- active learning
- feature space
- similarity measure
- face recognition