Low-rank Tensor Train Decomposition Using TensorSketch.
Zhongming ChenHuilin JiangGaohang YuLiqun QiPublished in: CoRR (2023)
Keyphrases
- low rank
- tensor decomposition
- trace norm
- high order
- convex optimization
- missing data
- linear combination
- frobenius norm
- matrix completion
- matrix factorization
- low rank matrix
- high dimensional data
- matrix decomposition
- rank minimization
- singular value decomposition
- data representation
- semi supervised
- kernel matrix
- singular values
- minimization problems
- non rigid structure from motion
- low rank matrices
- auxiliary information
- low rank approximation
- multi task
- collaborative filtering
- higher order
- data points
- feature space
- face recognition
- image processing
- machine learning