Truncated nuclear norm regularization for low-rank tensor completion.
Shengke XueWenyuan QiuFan LiuXinyu JinPublished in: CoRR (2019)
Keyphrases
- low rank
- trace norm
- nuclear norm
- low rank matrix
- matrix completion
- minimization problems
- linear combination
- rank minimization
- missing data
- high order
- convex optimization
- low rank matrices
- norm minimization
- singular value decomposition
- matrix factorization
- frobenius norm
- high dimensional data
- tensor decomposition
- semi supervised
- kernel matrix
- singular values
- data matrix
- sparse representation
- low rank approximation
- collaborative filtering
- recommender systems
- feature extraction
- dimensionality reduction
- higher order
- least squares
- pattern recognition