Zhang, Yuanpeng and Xia, Kaijian and Jiang, Yizhang and Qian, Pengjiang and Cai, Weiwei and Qiu, Chengyu and Lai, Khin Wee and Wu, Dongrui (2023) Multi-modality fusion & inductive knowledge transfer underlying non-sparse multi-kernel learning and distribution adaption. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20 (4). pp. 2387-2397. ISSN 1545-5963, DOI https://doi.org/10.1109/TCBB.2022.3142748.
Full text not available from this repository.Abstract
With the development of sensors, more and more multimodal data are accumulated, especially in biomedical and bioinformatics fields. Therefore, multimodal data analysis becomes very important and urgent. In this study, we combine multi-kernel learning and transfer learning, and propose a feature-level multi-modality fusion model with insufficient training samples. To be specific, we firstly extend kernel Ridge regression to its multi-kernel version under the l(p)-norm constraint to explore complementary patterns contained in multimodal data. Then we use marginal probability distribution adaption to minimize the distribution differences between the source domain and the target domain to solve the problem of insufficient training samples. Based on epilepsy EEG data provided by the University of Bonn, we construct 12 multi-modality & transfer scenarios to evaluate our model. Experimental results show that compared with baselines, our model performs better on most scenarios.
| Item Type: | Article |
|---|---|
| Funders: | Jiangsu Postdoctoral Research Funding Program [Grant No: 2020Z020], Wuhan Science and Technology Bureau [Grant No: 2020020601012240], Open Project fund of the Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology), Ministry of Education, Jiangsu Students' Innovation and Entrepreneurship Training Program [Grant No: 202110304096Y] |
| Uncontrolled Keywords: | Multi-kernel learning; Transfer learning; Multi-modality fusion; EEG; Manifold regularization |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering > Department of Biomedical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 08 Nov 2025 10:27 |
| Last Modified: | 08 Nov 2025 10:27 |
| URI: | http://eprints.um.edu.my/id/eprint/49750 |
Actions (login required)
 |
View Item |
