Low-Rank Tensor Completion Based on Log-Det Rank Approximation and Matrix Factorization.
Chengfei ShiZhengdong HuangLi WanTifan XiongPublished in: J. Sci. Comput. (2019)
Keyphrases
- low rank
- frobenius norm
- matrix factorization
- collaborative filtering
- missing data
- recommender systems
- matrix completion
- low rank matrix
- low rank approximation
- negative matrix factorization
- trace norm
- rank minimization
- low rank matrices
- tensor factorization
- singular values
- nonnegative matrix factorization
- factorization methods
- data matrix
- kernel matrix
- tensor decomposition
- sparsity constraints
- latent factors
- convex optimization
- high order
- linear combination
- stochastic gradient descent
- factorization method
- singular value decomposition
- binary matrix