Low-rank optimization on Tucker tensor varieties.
Bin GaoRenfeng PengYa-Xiang YuanPublished in: CoRR (2023)
Keyphrases
- low rank
- tensor decomposition
- high order
- trace norm
- matrix factorization
- nuclear norm
- convex optimization
- matrix completion
- missing data
- tensor factorization
- linear combination
- frobenius norm
- low rank matrix
- rank minimization
- data representation
- singular value decomposition
- auxiliary information
- matrix decomposition
- robust principal component analysis
- semi supervised
- minimization problems
- high dimensional data
- kernel matrix
- higher order
- data matrix
- singular values
- norm minimization
- stochastic gradient descent
- recommender systems