International Conference on Computing and Pattern Recognition on October 25-27, 2024 in Tianjin, China

International Conference on Computing and Pattern Recognition on October 25-27, 2024 in Tianjin, China

Publication&Indexing:

1. ICCPR 2024 Conference Proceedings by ACM (ISBN: 979-8-4007-1748-2), archived in ACM Digital Library, indexed by Ei Compendex and Scopus, reviewed by CPCI.

2. Journal of Advances in Information Technology (ISSN: 1798-2340; CiteScore: 2.4): indexed by ESCI (Web of Science), Scopus, EBSCO, Google Scholar, CNKI, Crossref, etc.

3. International Journal of Machine Learning (IJML) (E-ISSN: 2972-368X), which will be indexed by Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.

 

General Chairs :

Prof. Umapada Pal (IAPR and AAIA Fellow), Indian Statistical Institute, India

Prof. Zhitao Xiao, Tiangong University, China

 

Submission and Contact Methods:

Submission Methods: http://confsys.iconf.org/submission/iccpr2024

E-mail: [email protected]

Tel: +852-3500-0799 (English)/+86-28-86528465 (Chinese)

Wechat: CBEES-BBS

Conference Secretary: Ms. Olia Lai

Track 1-Computer Vision and Image Processing: Image segmentation and annotation, Object detection and recognition

Track 2-Pattern Recognition and Data Mining: Pattern classification and clustering, Feature selection and dimensionality reduction

Track 3-Machine Learning and Deep Learning: Machine learning algorithms and methods, Deep learning models and architectures

Track 4-Natural Language Processing and Text Analysis: Language models and semantic representation, Machine translation and cross-lingual processing

Track 5-Human-Computer Interaction and Intelligent Systems: Multimodal interaction and affective computing, Virtual reality and augmented reality

Track 6-Data Analysis and Big Data: Data preprocessing and cleansing, Large-scale data analysis and processing

Track 7-Face Recognition and Biometrics: Face detection and recognition, Biometric identification and authentication

Track 8-Time Series Analysis and Forecasting: Time series modeling and analysis, Time series forecasting and trend analysis

Track 9-Reinforcement Learning and Adaptive Control: Model-based reinforcement learning, Model-free reinforcement learning

Track 10-Media Analysis and Content Understanding: Video content analysis and understanding, Audio signal processing and music analysis

 

Name: Chemical, Biological & Environmental Engineering Society
Website: http://www.cbees.org/

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