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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Bibliographic Details
Main Author: Huang, Xinyi
Other Authors: Sinno Jialin Pan
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/168752
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Institution: Nanyang Technological University
Language: English

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