Imbalanced low-rank tensor completion via latent matrix factorization.
Yuning QiuGuoxu ZhouJunhua ZengQibin ZhaoShengli XiePublished in: Neural Networks (2022)
Keyphrases
- low rank
- matrix factorization
- trace norm
- tensor factorization
- tensor decomposition
- latent factors
- collaborative filtering
- missing data
- matrix completion
- low rank matrix
- recommender systems
- negative matrix factorization
- high order
- nonnegative matrix factorization
- latent variables
- factorization methods
- factor analysis
- singular values
- stochastic gradient descent
- low rank matrices
- latent structure
- higher order
- high dimensional
- data matrix
- linear combination
- low rank matrix factorization
- semi supervised
- nearest neighbor
- dimensionality reduction
- high dimensional data
- factorization method