Guarantees for existence of a best canonical polyadic approximation of a noisy low-rank tensor.
Eric EvertLieven De LathauwerPublished in: CoRR (2021)
Keyphrases
- low rank
- frobenius norm
- trace norm
- high order
- missing data
- tensor decomposition
- matrix completion
- matrix decomposition
- linear combination
- convex optimization
- low rank matrix
- matrix factorization
- singular value decomposition
- high dimensional data
- kernel matrix
- higher order
- low rank approximation
- low rank matrices
- minimization problems
- semi supervised
- rank minimization
- incomplete data
- kullback leibler divergence
- singular values
- missing values
- data matrix
- pairwise
- feature selection
- dimensionality reduction
- small number
- similarity measure
- data mining
- data sets