A New Model for Tensor Completion: Smooth Convolutional Tensor Factorization

A New Model for Tensor Completion: Smooth Convolutional Tensor Factorization

Tensor completion is the problem of filling-in missing parts of multidimensional data using the values of the reference elements. Recently, Multiway Delay-embedding Transform (MDT), which considers a low-dimensional space in a delay-embedded space with high expressive capability, has attracted atten...

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Bibliographic Details
Main Authors: Hiromu Takayama, Tatsuya Yokota
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Tensor completion
convolution
tensor factorization
delay-embedded space
Online Access:https://ieeexplore.ieee.org/document/10172043/

Internet

https://ieeexplore.ieee.org/document/10172043/

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