YISHENG, ZHONG and LI, AO (2020) Semi-supervised Corrupted Face Classification via Graph Learning. In: Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace.
![[thumbnail of 41397.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "41397.pdf")
PDF
41397.pdf
Download (750kB)
Abstract
Semi-supervised learning aims to training model with both of labeled and unlabeled data by exploring the relationships among them. Graph-based semi-supervised learning is an classical representative method that learning the class indicator matrix by propagating the similarity within the well designe
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 13:46 |
| Last Modified: | 17 Apr 2026 10:00 |
| URI: | http://eprints.eai.eu/id/eprint/31470 |
Actions (login required)
- View Item