About |
Welcome to the official website of 2020 International Conference on Pattern Recognition and Machine Learning (PRML 2020). PRML is an annual conference which aims to present the latest research and results of scholars and experts related to Pattern Recognition and Machine Learning. This conference provides opportunities for delegates from different areas to exchange new ideas, applications and experiences face to face, to establish business or research relations, and to find global partners for future collaboration. We hope that the conference results in significant contributions to the knowledge base in these scientific fields. PRML 2020 will be held during July 16-18, 2020 in Sichuan University, Chengdu, China. It features keynote speech, invited speech as well as paper presentation with oral or poster. It is welcomed that scholars and experts from all over the world to submit the papers or register as listener to participate in the conference. |
Call for Papers |
Topics of interest for submission include, but are not limited to: Pattern Recognition and Machine Learning
Pattern Recognition and Machine Learning
Pattern Recognition and Machine Learning
Pattern Recognition and Machine Learning
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Summary |
PRML 2020 : International Conference on Pattern Recognition and Machine Learning will take place in Chengdu, China. It’s a 3 days event starting on Jul 16, 2020 (Thursday) and will be winded up on Jul 18, 2020 (Saturday). PRML 2020 falls under the following areas: VIRTUAL REALITY, MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, SYSTEM ENGINEERING, etc. Submissions for this Conference can be made by Apr 30, 2020. Authors can expect the result of submission by May 20, 2020. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the PRML 2020
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Credits and Sources |
[1] PRML 2020 : International Conference on Pattern Recognition and Machine Learning |