A unified framework for visual domain adaptation with covariance matching-Reference-Cited by-同舟云学术

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A unified framework for visual domain adaptation with covariance matching

Published:2023-10 Issue: Volume:278 Page:110894
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Karn Ravi Ranjan Prasad^ORCID,Sanodiya Rakesh Kumar,Bajpai Priyam^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference83 articles.

1. Machine learning in healthcare: A review;Shailaja,2018

2. Machine Learning in Finance, Vol. 1170;Dixon,2020

3. Theoretical understandings of product embedding for e-commerce machine learning;Xu,2021

4. Machine learning in manufacturing and industry 4.0 applications;Rai;Int. J. Prod. Res.,2021

5. Transfer learning via dimensionality reduction;Pan,2008

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards the generalization of time series classification: A feature-level style transfer and multi-source transfer learning perspective;Knowledge-Based Systems;2024-09

2. PSO-based unified framework for unsupervised domain adaptation in image classification;Applied Intelligence;2024-08-07

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