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:	Artigo
Language:	Inglês
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/
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