(PRML 2022) 2022 3rd International Conference on Pattern Recognition and Machine Learning

Computer Science and Technologies

Conference Date

Jul 15-Jul 17, 2022

Place

Chengdu, China

Submission Deadline

May 25, 2022

E-mail

icprml@163.com

Telephone

+86-18000595361

Description

Full name: 2022 3rd International Conference on Pattern Recognition and Machine Learning
Short name: PRML 2022
2022 3rd International Conference on Pattern Recognition and Machine Learning will be held during July 15-17, 2022 in Sichuan University, Chengdu, China. PRML 2022 is co-sponsored by IEEE and Sichuan University, supported by University of Electronic Science and Technology of China, Tibet University, Wenzhou Medical University and Universiti Malaya.

Conference Website: http://www.prml.org/

Paper Publication:
1. PRML 2022 papers will be published in IEEE Conference Proceedings, which will be archived in IEEE Xplore, indexed by Ei Compendex and Scopus.
2. Special Issue of Entropy (ISSN 1099-4300), (IF: 2.524, SCI index), indexed by Scopus, SCIE (Web of Science), Inspec, EBSCO, etc.

Previously, PRML 2021 papers was published into Conference Proceedings by IEEE (ISBN: 978-1-6654-4382-1), archived in IEEE Xplore, indexed by Ei Compendex and Scopus.

Topics: 3D computer vision, Action and behavior recognition, Computational photography, image and video synthesis, Motion and tracking, Representation learning, deep learning, Image retrieval, Machine learning architectures and formulations, Video analysis and understanding, etc. .

Conference Venue:
Wangjiang Campus, Sichuan University, Chengdu, China
Address: No.24 South Section 1, Yihuan Road, Chengdu, China, 610065
Website: http://en.scu.edu.cn/

Submission and Contact Methods
Submission Methods: http://confsys.iconf.org/submission/prml2022
E-mail: icprml@163.com
Tel: +86-18000595361
Conference Secretary : Ms. Olia Lai

2022 3rd International Conference on Pattern Recognition and Machine Learning (PRML 2022) 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/