Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements.
Ren WangTianqi ChenZhe XuPengzhi GaoPublished in: ACSCC (2021)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- trace norm
- low rank matrix recovery
- high order
- low rank representation
- low rank subspace
- frobenius norm
- tensor decomposition
- convex optimization
- matrix completion
- linear combination
- matrix factorization
- missing data
- robust principal component analysis
- singular value decomposition
- low rank matrices
- semi supervised
- high dimensional data
- higher order
- kernel matrix
- norm minimization
- matrix decomposition
- data matrix
- recommender systems
- minimization problems
- singular values
- data sets
- least squares
- pairwise
- pattern recognition