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ACM--PRAI--Ei and Scopus 2018 : ACM--2018 the International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2018)--Ei Compendex and Scopus | |||||||||||
Link: http://www.prai.net | |||||||||||
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Call For Papers | |||||||||||
2018 the International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2018) (http://www.prai.net/) will be held in Union, NJ, USA at Kean University during August 15-17th, 2018.
◆Publication: All accepted papers will be published in International Conference Proceedings Series by ACM, indexed by Ei Compendex and Scopus. Qualified papers will be recommanded to be published on the International Journal of Machine Learning and Computing (IJMLC, ISSN: 2010-3700), indexed by Ei Inspec and Scopus. ◆Keynote &Plenary Speakers: Prof. Chingsong Wei from City University of New York, USA, Prof. Mehmet Celenk from Ohio University, USA and other two excellent professors from USA and other countries will address the keynote speeches. ◆Submission Method: Email the submission to praiconf@foxmail.com; Or submit via EasyChair: https://easychair.org/conferences/?conf=prai2018 ◆Contact: PRAI 2018 Secretary, Mr. Yutao Zhang Email: praiconf@foxmail.com Tell: +1-206-456-6022 (USA) +86-28-86528465 (China) ◆CFP: The PRAI 2018 solicits contributions of abstracts, full papers and posters that address themes and topics of the conference. The topics of interest include, but not limited to the following: I. Pattern Recognition and Machine Learning Statistical, syntactic and structural pattern recognition Machine learning and data mining Artificial neural networks Dimensionality reduction and manifold learning Classification and clustering Graphical Models for Pattern Recognition Representation and analysis in pixel/voxel images Support vector machines and kernel methods Symbolic learning Active and ensemble learning Deep learning Pattern recognition for big data Transfer learning Semi-supervised learning and spectral methods Model selection Reinforcement learning and temporal models Performance Evaluation ... |
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