Domain Transfer Multiple Kernel Learning
Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
Publications
4 shownDomain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach
In this paper, we propose a new framework called domain adaptation machine (DAM) for the multiple source domain adaption problem. Under this framework, we learn a robust decisio...
Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach
Recent work has demonstrated the effectiveness of domain adaptation methods for computer vision applications. In this work, we propose a new multiple source domain adaptation me...
Learning with Augmented Features for Heterogeneous Domain Adaptation
We propose a new learning method for heterogeneous domain adaptation (HDA), in which the data from the source domain and the target domain are represented by heterogeneous featu...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 1,341
- Institution
- Nanyang Technological University
External Links
Identifiers
- ORCID
- 0000-0002-0723-4016
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.