Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification

Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification

The multivariate time series (MTS) classification is an important classification problem in which data has the temporal attribute. Because relationships between many variables of the MTS are complex and time-varying, existing methods perform not well in MTS classification with many attribute variabl...

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Bibliographic Details
Main Authors: Gongqing Wu, Huicheng Zhang, Ying He, Xianyu Bao, Lei Li, Xuegang Hu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Kullback-Leibler divergence
Gaussian model
graphical lasso
multivariate time series
classification
Online Access:https://ieeexplore.ieee.org/document/8847405/

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