Difference between revisions of "PRML 2021"
Jump to navigation
Jump to search
Tim Holzheim (talk | contribs) (Added page provenance(#264) and contribution type(#271)) |
Tim Holzheim (talk | contribs) (Fixed ordinal (#119)) |
||
| Line 2: | Line 2: | ||
|Acronym=PRML 2021 | |Acronym=PRML 2021 | ||
|Title=2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning | |Title=2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning | ||
| − | |||
|Type=Conference | |Type=Conference | ||
|Start date=2021/07/16 | |Start date=2021/07/16 | ||
| Line 19: | Line 18: | ||
|pageCreator=Ian Vort | |pageCreator=Ian Vort | ||
|contributionType=2 | |contributionType=2 | ||
| + | |Ordinal =2 | ||
}} | }} | ||
Paper Publication | Paper Publication | ||
Latest revision as of 11:06, 6 April 2022
| PRML 2021 | |
|---|---|
2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning
| |
| Ordinal | 2 |
| Dates | 2021/07/16 (iCal) - 2021/07/18 |
| Homepage: | http://www.prml.org/ |
| Submitting link: | http://www.prml.org/sub.html |
| Location | |
| Location: | Chengdu, Sichuan Province, China |
| Important dates | |
| Submissions: | 2021/06/10 |
| Registration link: | http://www.prml.org/areg.html |
| Committees | |
| General chairs: | Chee Peng Lim, Deakin University, Qijun Zhao, Sichuan University, Bo Yang, University of Electronic Science and Technology of China |
| PC chairs: | Bohui Ma, XI'AN University of Posts&Telecommunications |
| Keynote speaker: | Prof. Chee Peng Lim Deakin University, Prof. Changsheng Xu (IEEE Fellow and IAPR Fellow) Chinese Academy of Sciences, Assoc. Prof. Li Zhang Northumbria University |
| Table of Contents | |
Paper Publication
The papers will be published in the PRML 2021 Conference Proceedings, which will be archived in IEEE Xplore, and indexed by Ei Compendex, Scopus.
Contact Methods E-mail: prml@cbees.net Tel: +852-3500-0799 (English) /+86-28-86528465 (Chinese) Conference Secretary : Ms. Freya Shi
2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML 2021) can provide a platform for academic communication in Pattern Recognition and Machine Learning and related areas. For more conference information, please visit the conference website: http://www.prml.org/