Time series domain adaptation via contrastive adversarial domain disentangled network

Unsupervised domain adaptation is a machine learning framework to transform information learned from one or several source domains with many annotated samples to unlabeled target domains. A typical unsupervised domain adaptation method is typically designed base on visual data. Solutions on time se...

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Detalhes bibliográficos
Autor principal: Huang, Xinyi
Outros Autores: Sinno Jialin Pan
Formato: Thesis-Master by Research
Idioma:English
Publicado em: Nanyang Technological University 2023
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/168752

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