The author introduces the SPTT algorithm, a Bayesian tensor train decomposition method, to recover streaming data efficiently by estimating the posterior of TT format.
The author introduces the applications of third-order reduced biquaternion tensors in color video processing, focusing on the singular value decomposition (SVD) and Moore-Penrose inverse. The approach aims to compress color videos efficiently using these tensor operations.
Proposing a Bayesian tensor train decomposition method, SPTT, for accurate streaming data recovery.
Generalizing Tucker decomposition to continuous-indexed tensor data using Functional Bayesian Tucker Decomposition.
해당 논문은 텐서 분해를 사용하여 매개변수화된 선형 시스템의 근사 솔루션을 구축하는 Chebyshev HOPGD 방법을 제시합니다.