IEEE Transactions on Neural Networks and Learning Systems· 2015Q1
Bayesian Robust Tensor Factorization for Incomplete Multiway Data
- 238citations
- Q1SCImago
- 2015year
Short summary
A new Bayesian tensor factorization method robustly handles missing data and outliers by simultaneously inferring a low-rank tensor for global information and a sparse tensor for local outliers.
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