Pseudo Bidirectional Linear Discriminant Analysis for Multivariate Time Series Classification

Pseudo Bidirectional Linear Discriminant Analysis for Multivariate Time Series Classification

Multivariate time series (MTS) is a kind of matrix data, typically consisting of multiple variables measured at multiple time points. Due to the high dimensionality of MTS data, many methods for MTS classification have been proposed within the literature to reduce the redundancy in time or variable...

Full description

Bibliographic Details
Main Authors: Jianhua Zhao, Feng Sun, Haiye Liang, Xuan Ma, Xingxu Li, Jun He
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Linear discriminant analysis
dimension reduction
classification
multivariate time series
matrix data
Online Access:https://ieeexplore.ieee.org/document/9456907/

Internet

https://ieeexplore.ieee.org/document/9456907/

Similar Items