A tensor SVD-like decomposition based on the semi-tensor product of tensors

01/14/2023
by   Zhuo-Ran Chen, et al.
0

In this paper, we define a semi-tensor product for third-order tensors. Based on this definition, we present a new type of tensor decomposition strategy and give the specific algorithm. This decomposition strategy actually generalizes the tensor SVD based on semi-tensor product. Due to the characteristic of semi-tensor product for compressing the data scale, we can therefore achieve data compression in this way. Numerical comparisons are given to show the advantages of this decomposition.

READ FULL TEXT

page 20

page 21

research
12/16/2021

Quaternion tensor singular value decomposition using a flexible transform-based approach

A flexible transform-based tensor product named ⋆_QT-product for Lth-ord...
research
09/30/2021

Semi-tensor Product-based TensorDecomposition for Neural Network Compression

The existing tensor networks adopt conventional matrix product for conne...
research
05/21/2022

Tensor Shape Search for Optimum Data Compression

Various tensor decomposition methods have been proposed for data compres...
research
02/05/2020

Hybrid CUR-type decomposition of tensors in the Tucker format

The paper introduces a hybrid approach to the CUR-type decomposition of ...
research
07/05/2020

Semiparametric Tensor Factor Analysis by Iteratively Projected SVD

This paper introduces a general framework of Semiparametric TEnsor FActo...
research
12/31/2019

Tensor-Tensor Products for Optimal Representation and Compression

In this era of big data, data analytics and machine learning, it is impe...

Please sign up or login with your details

Forgot password? Click here to reset