A general domain specific feature transfer framework for hybrid domain adaptation
Heterogeneous domain adaptation needs supplementary information to link up different domains. However, such supplementary information may not always be available in real cases. In this paper, a new problem setting called hybrid domain adaptation is investigated. It is a special case of heterogeneous...
Main Authors: | Wei, Pengfei, Ke, Yiping, Goh, Chi Keong |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/138954 |
Similar Items
-
Feature analysis of marginalized stacked denoising autoenconder for unsupervised domain adaptation
by: Wei, Pengfei, et al.
Published: (2021) -
Hierarchical domain adaptation with local feature patterns
by: Wen, Jun, et al.
Published: (2023) -
Adaptive transfer kernel learning for transfer Gaussian process regression
by: Wei, Pengfei, et al.
Published: (2023) -
Domain consistency regularization for unsupervised multi-source domain adaptive classification
by: Luo, Zhipeng, et al.
Published: (2023) -
Automated Negotiation from Declarative Contract Descriptions
by: Grosof, Benjamin, et al.
Published: (2002)