Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems

Spatiotemporal systems are ubiquitous in a large number of scientific areas, representing underlying knowledge and patterns in the data. Here, a fundamental question usually arises as how to understand and characterize these spatiotemporal systems with a certain data-driven machine learning framewor...

Description complète

Détails bibliographiques
Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 10 vom: 21. Sept., Seite 8524-8537
Auteur principal: Chen, Xinyu (Auteur)
Autres auteurs: Zhuang, Dingyi, Cai, HanQin, Wang, Shenhao, Zhao, Jinhua
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article