An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors

An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors

The PARAllel FACtor (PARAFAC) decomposition is known as one of the most commonly used tools in tensor signal/data processing. Unfortunately, its classical algorithms barely take the potential statistical and/or deterministic prior information of the decomposed tensor into consideration, while the mo...

Full description

Bibliographic Details
Main Authors: Ming Shi, Dan Li, Jian Qiu Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Alternating algorithms
Bayesian filtering
matrix Kalman filter
PARAFAC decomposition
tensors
Online Access:https://ieeexplore.ieee.org/document/8404034/

Internet

https://ieeexplore.ieee.org/document/8404034/

Similar Items