Tensor Computation for Data Analysis /

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis. This book is intended to provide non-specialists an overall understanding of tensor computation and its appli...

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Bibliographic Details
Main Authors:	Liu, Yipeng (Author), Liu, Jiani (Author), Long, Zhen (Author), Zhu, Ce (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Subjects:	Electronic circuits. Signal processing. Image processing. Speech processing systems. Computer engineering. Internet of things. Embedded computer systems. Circuits and Systems. Signal, Image and Speech Processing. Cyber-physical systems, IoT. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1- Tensor Computation
2-Tensor Decomposition
3-Tensor Dictionary Learning
4-Low Rank Tensor Recovery
5-Coupled Tensor for Data Analysis
6-Robust Principal Tensor Component Analysis
7-Tensor Regression
8-Statistical Tensor Classification
9-Tensor Subspace Cluster
10-Tensor Decomposition in Deep Networks
11-Deep Networks for Tensor Approximation
12-Tensor-based Gaussian Graphical Model
13-Tensor Sketch. .