6th International Workshop on Pattern
6th International Workshop on Pattern Recognition
In recent years, pattern recognition has become a hot research branch thanks to the recent advances of machine learning driven by big data. In light of the fast-paced advancements in pattern recognition taking place all over the world, it is of great interest to keep an eye on the state-of-the-art research and development and to facilitate collaboration in multidisciplinary research areas. With this end in view, it’s a great pleasure for
us to invite you to participate in
2021 6th International Workshop on Pattern Recognition during
June 25-27, 2021 in Beijing, China, sponsored by Beijing Technology And Business University, hosted by School of Computer and Information Engineering of BTBU, technical sponsored by Southeast University, University of Jinan, etc.
IWPR was established in 2016 and was successfully held
in Tokyo, Japan (2016), Nanyang Technological
University, Singapore (2017), University of Jinan,
China(2018), Southeast University, China (2019), Virtual
Conference (2020). In the last
five years, IWPR attracted
attendees from more than 15 countries. It was praised
for the richness of its social networking, was widely
recognized for its continuous adaptation to emerging
technical trends, and attracting numerous industry and
academic players. The IWPR encompasses all technical
aspects of specifying, developing and evaluating the
theoretical underpinnings and applied mechanisms of the
AI-based components of computer tools such as
algorithms, architectures and languages.
IWPR 2021 is accepting submission of two type of
Note: IWPR 2016-2020 conference
proceedings have been indexed by Ei Compendex and Scopus
Submission Deadline: May 25, 2021
Acceptance Notification: June 05, 2021
Registration Deadline: June 15, 2021
Conference Date: June 25-27, 2021
Welcome you to submit full paper (for publication and presentation) or abstract (for presentation only) by
Electronic Submission System.
Welcome you to attend IWPR 2021 as listener. Please
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