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Finding Robust Transfer Features for Unsupervised Domain Adaptation Cover

Finding Robust Transfer Features for Unsupervised Domain Adaptation

International Journal of Applied Mathematics and Computer Science
Volume 30 (2020): Issue 1 (March 2020)
By: Depeng Gao,  Rui Wu,  Jiafeng Liu,  Xiaopeng Fan and  Xianglong Tang  
Open Access
|Apr 2020

Authors

Depeng Gao

School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Rui Wu

simple@hit.edu.cn

School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Jiafeng Liu

School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Xiaopeng Fan

School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Xianglong Tang

School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
DOI: https://doi.org/10.34768/amcs-2020-0008 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 99 - 112
Submitted on: Jun 5, 2019
|
Accepted on: Nov 30, 2019
|
Published on: Apr 3, 2020
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
unsupervised domain adaptation,
feature reduction,
generalized eigenvalue decomposition,
object recognition
Related subjects:
Mathematics,
Applied mathematics

© 2020 Depeng Gao, Rui Wu, Jiafeng Liu, Xiaopeng Fan, Xianglong Tang, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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