A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation.
Hugo LebeauFlorent ChatelainRomain CouilletPublished in: CoRR (2024)
Keyphrases
- singular vectors
- tensor decomposition
- singular value decomposition
- frobenius norm
- low rank
- order tensor
- singular values
- kullback leibler divergence
- higher order
- low rank approximation
- high order
- negative matrix factorization
- reconstruction error
- data representation
- projection matrices
- tensor product
- trace norm
- higher order tensors
- tensor factorization
- matrix representation
- matrix factorization
- matrix completion
- auxiliary information
- central limit theorem
- principal component analysis
- convex optimization
- structure tensor
- subspace learning
- missing data
- linear combination
- least squares
- positive definite
- pairwise
- spectral clustering
- closed form
- low rank matrix
- tensor analysis
- dimensionality reduction
- tensor space