Low-Rank Tucker Approximation of a Tensor From Streaming Data.
Yiming SunYang GuoCharlene LuoJoel A. TroppMadeleine UdellPublished in: CoRR (2019)
Keyphrases
- streaming data
- low rank
- tensor decomposition
- frobenius norm
- high order
- data streams
- matrix factorization
- tensor factorization
- sliding window
- linear combination
- trace norm
- concept drift
- singular value decomposition
- low rank matrix
- convex optimization
- semi supervised
- low rank approximation
- missing data
- matrix completion
- high dimensional data
- data distribution
- rank minimization
- data representation
- anomaly detection
- singular values
- higher order
- auxiliary information
- collaborative filtering
- change detection
- pairwise
- active learning
- computer vision