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What is Bayesian Robust Tensor Factorization about?

This paper introduces a Bayesian robust streaming tensor factorization model that identifies sparse outliers, automatically determines tensor rank, and accurately fits low-rank structures. The proposed method enhances existing algorithms by incorporating a Bayesian statistical approach to manage outliers and improve tensor completion. The model is implemented in Matlab and tested against datasets from dynamic MRI and Internet traffic, demonstrating its effectiveness in processing high-volume multi-way tempo

Author

brandwes64

Language

EN