Intelligence Science and Big Data Engineering. Big Data and Machine Learning [electronic resource] 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II / edited by Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang.

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The paper...

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Bibliographic Details
Uniform Title:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11936
Corporate Author: SpringerLink (Online service)
Other Authors: Cui, Zhen (Editor)
Pan, Jinshan (Editor)
Zhang, Shanshan (Editor)
Xiao, Liang (Editor)
Yang, Jian (Editor)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11936
Subjects:
Online Access:
Format: Electronic eBook

MARC

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490 1 |a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;  |v 11936 
520 |a The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2019, held in Nanjing, China, in October 2019. The 84 full papers presented were carefully reviewed and selected from 252 submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics, bioinformatics, computational biology and brain-computer interfaces, as well as advances in fundamental pattern recognition techniques relevant to image processing, computer vision and machine learning. . 
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