Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices.
Anh-Huy PhanPetr TichavskýKonstantin SobolevKonstantin SozykinDmitry ErmilovAndrzej CichockiPublished in: ICASSP (2021)
Keyphrases
- low rank
- tensor decomposition
- matrix factorization
- sparsity constraints
- binary matrix
- tensor factorization
- collaborative filtering
- missing data
- low rank matrix
- matrix completion
- convex optimization
- linear combination
- recommender systems
- semi supervised
- high dimensional data
- high order
- singular value decomposition
- nonnegative matrix factorization
- data matrix
- data sets
- negative matrix factorization
- computer vision
- image processing
- pattern recognition
- active learning
- image data
- factorization method
- singular values