Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3093468 ◽

2021 ◽

pp. 1-14

Author(s):

Wei Wang ◽

Haojie Li ◽

Zhengming Ding ◽

Feiping Nie ◽

Junyang Chen ◽

...

Keyword(s):

Domain Adaptation ◽

Maximum Mean Discrepancy ◽

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Discriminative information preservation: A general framework for unsupervised visual Domain Adaptation

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107158 ◽

2021 ◽

pp. 107158

Author(s):

Rakesh Kumar Sanodiya ◽

Leehter Yao

Keyword(s):

General Framework ◽

Domain Adaptation ◽

Information Preservation ◽

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Structure Preservation Adversarial Network for Visual Domain Adaptation

Information Sciences ◽

10.1016/j.ins.2021.07.085 ◽

2021 ◽

Author(s):

Min Meng ◽

Qiguang Chen ◽

Jigang Wu

Keyword(s):

Domain Adaptation ◽

Structure Preservation ◽

Adversarial Network ◽

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Multi-source based approach for Visual Domain Adaptation

10.1109/ijcnn52387.2021.9534305 ◽

2021 ◽

Author(s):

Mrinalini Tiwari ◽

Rakesh Kumar Sanodiya ◽

Jimson Mathew ◽

Sriparna Saha

Keyword(s):

Domain Adaptation ◽

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Visual Domain Adaptation with Manifold Embedded Distribution Alignment

2018 ACM Multimedia Conference on Multimedia Conference - MM '18 ◽

10.1145/3240508.3240512 ◽

2018 ◽

Author(s):

Jindong Wang ◽

Wenjie Feng ◽

Yiqiang Chen ◽

Han Yu ◽

Meiyu Huang ◽

...

Keyword(s):

Domain Adaptation ◽

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Sparse and Low-Rank Models for Visual Domain Adaptation

Pattern Recognition and Big Data ◽

10.1142/9789813144552_0004 ◽

2016 ◽

pp. 113-133

Author(s):

Rama Chellappa ◽

Vishal M. Patel

Keyword(s):

Domain Adaptation ◽

Low Rank ◽

Low Rank Models ◽

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Linear Discriminant Analysis via Pseudo Labels: A Unified Framework for Visual Domain Adaptation

IEEE Access ◽

10.1109/access.2020.3035422 ◽

2020 ◽

Vol 8 ◽

pp. 200073-200090

Author(s):

Rakesh Kumar Sanodiya ◽

Leehter Yao

Keyword(s):

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Domain Adaptation ◽

Unified Framework ◽

Linear Discriminant ◽

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Effective Visual Domain Adaptation via Generative Adversarial Distribution Matching

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.3016180 ◽

2020 ◽

pp. 1-11

Author(s):

Qi Kang ◽

SiYa Yao ◽

MengChu Zhou ◽

Kai Zhang ◽

Abdullah Abusorrah

Keyword(s):

Domain Adaptation ◽

Distribution Matching ◽

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Unsupervised visual domain adaptation via dictionary evolution

2016 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme.2016.7552896 ◽

2016 ◽

Author(s):

Songsong Wu ◽

Xiao-Yuan Jing ◽

Dong Yue ◽

Jian Zhang ◽

K. Jian Yang ◽

...

Keyword(s):

Domain Adaptation ◽

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Fully semisupervised framework for visual domain adaptation

Journal of Electronic Imaging ◽

10.1117/1.jei.28.1.013040 ◽

2019 ◽

Vol 28 (01) ◽

pp. 1

Author(s):

Depeng Gao ◽

Jiafeng Liu ◽

Rui Wu ◽

Xianglong Tang

Keyword(s):

Domain Adaptation ◽

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A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms

IEEE Transactions on Image Processing ◽

10.1109/tip.2019.2928630 ◽

2020 ◽

Vol 29 ◽

pp. 199-213 ◽

Author(s):

Yiming Chen ◽

Shiji Song ◽

Shuang Li ◽

Cheng Wu

Keyword(s):

Domain Adaptation ◽

Graph Embedding ◽

Maximum Mean Discrepancy

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