Decoupled Early Time Series Classification Using Varied-Length Feature Augmentation and Gradient Projection Technique

Early time series classification (ETSC) is crucial for real-world time-sensitive applications. This task aims to classify time series data with least timestamps at the desired accuracy. Early methods used fixed-length time series to train the deep models, and then quit the classification process by...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Huiling, Zhang, Ye, Tian, Aosheng, Hou, Yi, Ma, Chao, Zhou, Shilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602421/
https://www.ncbi.nlm.nih.gov/pubmed/37420497
http://dx.doi.org/10.3390/e24101477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602421/
https://www.ncbi.nlm.nih.gov/pubmed/37420497
http://dx.doi.org/10.3390/e24101477

Ejemplares similares