Promoter
NameMs. Dana Chen
Telephone+86-18081079313
Email[email protected]
Websitewww.aipr.net
Description

★Full name: ACM--2022 5th International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2022)--Ei Compendex, Scopus

★Abbreviation: AIPR 2022

★Website: http://www.aipr.net/

★Date: September 23-25, 2022

★Location: Huaqiao University, Xiamen, China

★Supported by: Huaqiao University, Wuhan Institute of Technology

 

★Call for Papers★

Topics of interest include, but are not limited to:

Pattern Recognition and Machine Learning

Artificial neural networks

Dimensionality reduction and manifold learning

Classification and clustering

Computer Vision and Robot Vision

Shape modeling and encoding

Motion, tracking and video analysis

3D sensors: depth sensors, ToF, Kinect

Image, Speech, Signal and Video Processing

Sensor array & multichannel signal processing

Coding, compression and super-resolution

Facial expression recognition

Document Analysis, Biometrics and Pattern Recognition Applications

Biomedical Image Analysis and Applications

 

-For more details about topics, please visit: http://www.aipr.net/pages/cfp.html

 

★ Publication★

All accepted papers of AIPR 2022 will be published in International Conference Proceedings Series by ACM, which will be indexed by Ei Compendex and Scopus.

 

★Submission★

1. Full paper (Publication and Presentation)

2. Abstract (Presentation Only)

 

Please upload your full paper/abstract to Submission System: 

http://confsys.iconf.org/submission/aipr2022

Or directly send it to [email protected]

 

More details about submission, please visit: http://www.aipr.net/pages/sub.html

 

                       

★Conference Schedule★

Friday, September 23, 2022: Pre-conference Registration; Online Pre-test

Saturday, September 24, 2022: Opening Remarks & Keynote Speeches & Authors' Presentations in Parallel Sessions

Sunday, September 25, 2022: Poster Session & Academic Visit

 

★Contact Us★

Conference Secretary: Ms. Dana Chen

Email: [email protected]

Call Us: +86-18081079313

(Monday to Friday, 10:00 am-17:00 pm | GMT+8)

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